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ai.lumify/sports-intelligence

Lumify Sports Intelligence

Schedules, scores, odds, splits & explainable AI bet confidence — 8+ sports, free instant key.

DECISION SUMMARY

Block For Production

Score
66.7
Rank suppressed while production readiness shows a blocking verdict.
Confidence
High
Based on evidence completeness, recency, and validation density.
Evidence age
11.1h old
Freshness: fresh. Snapshot trustsnap_7bb9ee489e7bc911.
Top risk drivers
  • Utility Coverage
  • Step Up Auth
  • Request Association
Recommended actions
  • Align MCP-Protocol-Version, MCP-Session-Id, DELETE teardown, and expired-session handling with the transport spec.
  • Serve /.well-known/oauth-protected-resource and point it at your authorization server metadata.
  • Publish /.well-known/oauth-authorization-server from your issuer and include registration endpoint when supported.
Next action
revalidate, add safeguards, export policy
write/admin actions need confirmation safeguards
Compare alternatives Export policy Open report JSON Dispute this assessment
Observed Attention
No observed attention
No observed attention in the current 30-day window.
  • No segmented attention signals observed in the current window.
Bucketed signal based on recent segmented Verify telemetry. Crawler and evaluator activity is not treated as confirmed human demand.
Status
Healthy
Score
66.7
Transport
streamable-http
Tools
18
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Dispute history

No disputes filed for this server.

Risk

Security posture
Tools analyzed
18
High-risk tools
0
Destructive tools
0
Exec tools
0
Egress tools
17
Secret tools
0
Bulk-access tools
0
Risk distribution
low:1, medium:17
Tool capability & risk inventory
ToolCapabilitiesRiskFindingsNotes
list_sports read network Medium arbitrary network egress No explicit safeguard hints detected.
list_events read network Medium arbitrary network egress Safeguards hinted in metadata.
get_event read network Medium arbitrary network egress Safeguards hinted in metadata.
batch_get_events read network Medium arbitrary network egress Safeguards hinted in metadata.
query_events read network Medium arbitrary network egress freeform input surface No explicit safeguard hints detected.
get_live_score read network Medium arbitrary network egress No explicit safeguard hints detected.
get_odds read network Medium arbitrary network egress No explicit safeguard hints detected.
get_odds_history read network Medium arbitrary network egress No explicit safeguard hints detected.
get_stats read network Medium arbitrary network egress No explicit safeguard hints detected.
get_splits read network Medium arbitrary network egress No explicit safeguard hints detected.
get_intelligence read network Medium arbitrary network egress No explicit safeguard hints detected.
list_teams read network Medium arbitrary network egress Safeguards hinted in metadata.
search_players read network Medium arbitrary network egress Safeguards hinted in metadata.
get_team read network Medium arbitrary network egress No explicit safeguard hints detected.
get_player read network Medium arbitrary network egress No explicit safeguard hints detected.
get_player_events read network Medium arbitrary network egress Safeguards hinted in metadata.
list_seasons read network Medium arbitrary network egress No explicit safeguard hints detected.
estimate_cost read Low none No explicit safeguard hints detected.
Write-action governance
Governance status
OK
Safe to publish
Auth boundary
public_or_unclear
Blast radius
Low
High-risk tools
0
Confirmation signals
none
Safeguard count
6

Status detail: No unsafe write-action governance gaps detected on the latest validation.

ToolRiskFlagsSafeguards
No high-risk tools were detected on the latest run.
Action-controls diff
Snapshot changed
yes
Disabled-by-default candidates
batch_get_events get_event get_intelligence get_live_score get_odds get_odds_history get_player get_player_events get_splits get_stats get_team list_events list_seasons list_sports list_teams query_events search_players
Manual review candidates
batch_get_events get_event get_intelligence get_live_score get_odds get_odds_history get_player get_player_events get_splits get_stats get_team list_events list_seasons list_sports list_teams query_events search_players
New actions
ActionRiskFlags
batch_get_eventsMediumarbitrary network egress
estimate_costLownone
get_eventMediumarbitrary network egress
get_intelligenceMediumarbitrary network egress
get_live_scoreMediumarbitrary network egress
get_oddsMediumarbitrary network egress
get_odds_historyMediumarbitrary network egress
get_playerMediumarbitrary network egress
get_player_eventsMediumarbitrary network egress
get_splitsMediumarbitrary network egress
get_statsMediumarbitrary network egress
get_teamMediumarbitrary network egress
list_eventsMediumarbitrary network egress
list_seasonsMediumarbitrary network egress
list_sportsMediumarbitrary network egress
list_teamsMediumarbitrary network egress
query_eventsMediumarbitrary network egress freeform input surface
search_playersMediumarbitrary network egress
Changed actions
ActionChange typesRisk
No materially changed actions.
Critical alerts
High/critical-severity alerts
2
Production verdicts degrade quickly when high or critical-severity alerts are active.

Compatibility

Client compatibility verdicts

Client compatibility only means the server shape can work with a client. Production trust decision and write-action publishing are evaluated separately so a client-compatible server can still be blocked for production.

Client compatibility: ChatGPT
Partially client-compatible
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; OAuth interoperability should be strong.
Confidence: high (87.5)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listOK
  • transport_compliance_probeWarning
  • step_up_auth_probeMissing
  • connector_replay_probeOK — Frozen tool snapshots must survive refresh.
  • request_association_probeMissing — Roots, sampling, and elicitation should stay request-scoped.
Client compatibility: Claude
Client-compatible
No major blockers detected.
Confidence: high (87.5)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listOK
  • transport_compliance_probeWarning
Write-action publishing
Publishing blocked
Active alert(s) affecting production readiness: Tool snapshot changed, Auth mode changed.
Confidence: high (87.5)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history
Disagreements: none
  • action_safety_probeOK
Snapshot churn risk
Medium
The live tool surface changed between recent validations.
Confidence: high (87.5)
Evidence provenance
Winner: history
Supporting sources: history, live_validation
Disagreements: none
  • tool_snapshot_probeOK
  • connector_replay_probeOK
Client compatibility gate details
ChatGPT custom connector
Partially client-compatible
Remediation checklist
  • OpenAI connectors expect OAuth for remote server auth.
  • Dynamic client registration materially improves connector setup.
  • OAuth interoperability should be strong.
  • OAuth is not configured, so this client cannot authenticate without additional setup.
  • A connector refresh would break existing tool references (new required arguments or removed tools) -- an admin must re-approve the connector before this is safe.
  • Not yet safe for the Messages API remote MCP path: requires OAuth, a compatible connector profile, and no pending connector-refresh risk.
Claude remote MCP
Client-compatible
Remediation checklist
  • OAuth is not configured, so this client cannot authenticate without additional setup.
  • A connector refresh would break existing tool references (new required arguments or removed tools) -- an admin must re-approve the connector before this is safe.
  • Not yet safe for the Messages API remote MCP path: requires OAuth, a compatible connector profile, and no pending connector-refresh risk.
  • Transport compliance issues should be resolved before wider client rollout.
Write-safe publishing
Blocked
Remediation checklist
  • Add a clearer auth boundary around risky write actions.
  • Add confirmation or dry-run semantics for risky actions.
  • Production readiness is blocked by an active alert: Tool snapshot changed.
  • Production readiness is blocked by an active alert: Auth mode changed.
Verdict traces
Production verdict
Needs remediation
Degraded from Safe for evaluation: 2 open high/critical-severity alert(s) are active, including at least one that blocks even evaluation-level trust.
Confidence: high (87.5)
Winning source: live_validation
Triggering alerts
  • tool_snapshot_changed • high • Tool snapshot changed
  • auth_mode_changed • high • Auth mode changed
Client verdict trace table
VerdictStatusChecksWinning sourceConflicts
openai_connectors Partially client-compatible initialize, tools_list, transport_compliance_probe, step_up_auth_probe, connector_replay_probe, request_association_probe live_validation none
claude_desktop Client-compatible initialize, tools_list, transport_compliance_probe live_validation none
unsafe_for_write_actions Publishing blocked action_safety_probe live_validation none
snapshot_churn_risk Medium tool_snapshot_probe, connector_replay_probe history none
Publishability policy profiles
ChatGPT custom connector compatibility
Compatible with review
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; OAuth interoperability should be strong. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.
  • Search Fetch Only: Yes
  • Write Actions Present: No
  • Oauth Configured: No
  • Admin Refresh Required: Yes
  • Safe For Company Knowledge: Yes
  • Safe For Messages Api Remote Mcp: No
Claude remote MCP compatibility
Connector-compatible
Transport, discovery, and remote-MCP assumptions are satisfied. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.
  • Search Fetch Only: Yes
  • Write Actions Present: No
  • Oauth Configured: No
  • Admin Refresh Required: Yes
  • Safe For Company Knowledge: Yes
  • Safe For Messages Api Remote Mcp: No
Compatibility fixtures
ChatGPT custom connector fixture
Degraded
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; OAuth interoperability should be strong.
  • remote_http_endpoint: Passes
  • oauth_discovery: Degraded
  • frozen_tool_snapshot_refresh: Passes
  • request_association: Passes
Anthropic remote MCP fixture
Degraded
Remote MCP transport and discovery assumptions are satisfied.
  • remote_transport: Passes
  • tool_discovery: Passes
  • auth_connect: Passes
  • safe_write_review: Degraded
Recommended for
Claude Desktop
Claude Desktop is marked compatible with score 100.
Smithery
Smithery is marked compatible with score 80.
Generic Streamable HTTP
Generic Streamable HTTP is marked compatible with score 100.

Evidence

Current trust snapshot
Snapshot ID
trustsnap_7bb9ee489e7bc911
Use this ID to compare server page, report, policy, MCP, homepage, ranking, and shortlist surfaces.
Snapshot generated
Aug 08, 2026 06:20:52 PM UTC
All page, report, policy, and MCP surfaces use this same server-detail snapshot shape.
Last validated
Aug 08, 2026 07:14:00 AM UTC
Age: 11.11h • evidence age tier: Verified in last 24h • display score: 66.67

Canonical machine links

Evidence confidence
Confidence score
87.5
Based on 10 recent validations, 27 captured checks, and validation age of 11.1 hours.
Live checks captured
27
More direct checks increase trust in the current verdict.
Validation age
11.1h
Lower age means fresher evidence.
Latest validation evidence
Latest summary
Healthy
Validation profile
remote_mcp
Started
Aug 08, 2026 07:13:58 AM UTC
Latency
1787.8 ms

Failures

  • oauth_authorization_server no authorization server
  • oauth_protected_resource Client error '404 Not Found' for url 'https://lumify.ai/.well-known/oauth-protected-resource' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
  • openid_configuration no authorization server
  • server_card Client error '404 Not Found' for url 'https://lumify.ai/.well-known/mcp/server-card.json' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404

Checks

CheckStatusLatencyEvidence
action_safety_probe OK n/a No high-risk write, destructive, or exec tools detected.
advanced_capabilities_probe OK n/a 4 capability signal(s): prompts, resource links, resources, structured outputs.
connector_publishability_probe Warning n/a Publishability blockers: server card.
connector_replay_probe OK n/a Backward compatible with no breaking tool-surface changes.
determinism_probe OK 115.2 ms Check completed
initialize OK 104.4 ms Protocol 2025-03-26
interactive_flow_probe Missing n/a Check completed
oauth_authorization_server Missing n/a no authorization server
oauth_protected_resource Error 191.8 ms Client error '404 Not Found' for url 'https://lumify.ai/.well-known/oauth-protected-resource' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
official_registry_probe OK n/a Check completed
openid_configuration Missing n/a no authorization server
probe_noise_resilience OK 198.4 ms Fetched https://lumify.ai/robots.txt
prompt_get OK 96.3 ms 1 prompt message(s) returned
prompts_list OK 173.0 ms 3 prompt(s) exposed
protocol_version_probe Warning n/a Claims 2025-03-26; 2 release(s) behind 2025-11-25.
provenance_divergence_probe Not_Assessed n/a Check completed
request_association_probe Missing n/a No request-association capabilities were advertised.
resource_read Error 95.5 ms JSON-RPC error -32001: Unauthorized: provide a valid Lumify API key as a Bearer token.
resources_list OK 93.8 ms 2 resource item(s) exposed
schema_divergence_probe Missing n/a no server card tools
server_card Error 118.2 ms Client error '404 Not Found' for url 'https://lumify.ai/.well-known/mcp/server-card.json' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
session_resume_probe Warning n/a no session id
step_up_auth_probe Missing n/a No OAuth or incremental-scope signals detected.
tool_snapshot_probe OK n/a Check completed
tools_list OK 159.7 ms 18 tool(s) exposed
transport_compliance_probe Warning 87.7 ms Issues: missing session id (bad protocol=400).
utility_coverage_probe Missing 197.3 ms No completions evidence; no pagination evidence; tasks missing.
Raw evidence view
Show raw JSON evidence
{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": false,
        "confirmation_signals": [],
        "reason": null,
        "safeguard_count": 6,
        "summary": {
          "annotation_conflict_tools": 0,
          "bulk_access_tools": 0,
          "capability_distribution": {
            "network": 17,
            "read": 18
          },
          "declared_non_read_only_tools": 0,
          "destructive_tools": 0,
          "egress_tools": 17,
          "exec_tools": 0,
          "has_mutating_capability": false,
          "has_non_read_capability": false,
          "high_risk_tools": 0,
          "risk_distribution": {
            "critical": 0,
            "high": 0,
            "low": 1,
            "medium": 17
          },
          "secret_tools": 0,
          "tool_count": 18
        }
      },
      "latency_ms": null,
      "status": "ok"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": false,
          "elicitation": false,
          "prompts": true,
          "resource_links": true,
          "resources": true,
          "roots": false,
          "sampling": false,
          "structured_outputs": true
        },
        "enabled": [
          "prompts",
          "resource_links",
          "resources",
          "structured_outputs"
        ],
        "enabled_count": 4,
        "initialize_capability_keys": [
          "prompts",
          "resources",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "ok"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "server_card"
        ],
        "criteria": {
          "action_safety": true,
          "auth_flow": true,
          "connector_replay": true,
          "initialize": true,
          "protocol_version": true,
          "remote_transport": true,
          "request_association": true,
          "server_card": false,
          "session_resume": true,
          "step_up_auth": true,
          "tool_surface": true,
          "tools_list": true,
          "transport_compliance": true
        },
        "high_risk_tools": 0,
        "tool_count": 18,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_replay_probe": {
      "details": {
        "added_tools": [],
        "additive_output_changes": [],
        "backward_compatible": true,
        "output_breaks": [],
        "removed_tools": [],
        "required_arg_breaks": [],
        "would_break_after_refresh": false
      },
      "latency_ms": null,
      "status": "ok"
    },
    "determinism_probe": {
      "details": {
        "attempts": 2,
        "baseline_signature": "80daa9998ce55a3392944a1898081d5f4578a1683eca986ed77132d0ed37ab0b",
        "errors": [],
        "matches": 2,
        "stable_ratio": 1.0,
        "successful": 2
      },
      "latency_ms": 115.25,
      "status": "ok"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-06-18",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "19",
          "x-ratelimit-reset": "1786173298"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "prompts": {
                "listChanged": false
              },
              "resources": {
                "listChanged": false,
                "subscribe": false
              },
              "tools": {
                "listChanged": false
              }
            },
            "instructions": "Lumify sports intelligence. Read the lumify://docs/quickstart resource to get started (including the zero-signup instant-key auth path). Authenticate with a Lumify API key (Bearer lmfy-...) before tools/call. Use tools/list, resources/list, and prompts/list to discover capabilities.",
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "lumify-mcp",
              "version": "1.0.1"
            }
          }
        },
        "url": "https://lumify.ai/mcp"
      },
      "latency_ms": 104.36,
      "status": "ok"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": false,
        "prompt_available": true,
        "risk_hits": [],
        "safe_hits": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_authorization_server": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "oauth_protected_resource": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://lumify.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://lumify.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 191.75,
      "status": "error"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.lumify/sports-intelligence",
        "registry_source": "official_registry"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "openid_configuration": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "text/plain; charset=utf-8"
        },
        "http_status": 200,
        "url": "https://lumify.ai/robots.txt",
        "validation_disallowed": false
      },
      "latency_ms": 198.44,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-06-18",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "16",
          "x-ratelimit-reset": "1786173299"
        },
        "http_status": 200,
        "payload": {
          "id": 4,
          "jsonrpc": "2.0",
          "result": {
            "description": "Summarize today's games (optionally for one sport) with live scores.",
            "messages": [
              {
                "content": {
                  "text": "List today's games with their live scores. Call list_events with date set to today's UTC date (YYYY-MM-DD) and include_scores=true. Group the results by status (in-progress, scheduled, final) and, for in-progress games, show the current score, period, and clock.",
                  "type": "text"
                },
                "role": "user"
              }
            ]
          }
        },
        "prompt_arguments": [
          {
            "description": "Optional sport slug, e.g. nfl, mlb, nba, soccer.",
            "name": "sport",
            "required": false
          }
        ],
        "prompt_name": "todays_games",
        "url": "https://lumify.ai/mcp"
      },
      "latency_ms": 96.28,
      "status": "ok"
    },
    "prompts_list": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-06-18",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "17",
          "x-ratelimit-reset": "1786173299"
        },
        "http_status": 200,
        "payload": {
          "id": 3,
          "jsonrpc": "2.0",
          "result": {
            "prompts": [
              {
                "arguments": [
                  {
                    "description": "Optional sport slug, e.g. nfl, mlb, nba, soccer.",
                    "name": "sport",
                    "required": false
                  }
                ],
                "description": "Summarize today's games (optionally for one sport) with live scores.",
                "name": "todays_games",
                "title": "Today's games"
              },
              {
                "arguments": [
                  {
                    "description": "Event id (from list_events / query_events).",
                    "name": "event_id",
                    "required": true
                  }
                ],
                "description": "Build an explainable betting brief for one event: odds, confidence, rationale, line moves, and public splits.",
                "name": "event_bet_brief",
                "title": "Event bet brief"
              },
              {
                "arguments": [
                  {
                    "description": "Event id (from list_events / query_events).",
                    "name": "event_id",
                    "required": true
                  }
                ],
                "description": "Report line movement and where the public money is for one event.",
                "name": "line_watch",
                "title": "Line watch"
              }
            ]
          }
        },
        "url": "https://lumify.ai/mcp"
      },
      "latency_ms": 173.0,
      "status": "ok"
    },
    "protocol_version_probe": {
      "details": {
        "claimed_version": "2025-03-26",
        "lag_days": 244,
        "latest_known_version": "2025-11-25",
        "releases_behind": 2,
        "validator_protocol_version": "2025-03-26"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "provenance_divergence_probe": {
      "details": {
        "comparable_field_count": 0,
        "compared_fields": [
          "title",
          "version",
          "homepage",
          "repository"
        ],
        "direct_official_match": true,
        "drift_fields": [],
        "metadata_document_count": 2,
        "readable_sources": [
          "registry"
        ],
        "registry_homepage": null,
        "registry_repository": null,
        "registry_title": null,
        "registry_version": null,
        "server_card_homepage": null,
        "server_card_repository": null,
        "server_card_title": null,
        "server_card_version": null
      },
      "latency_ms": null,
      "status": "not_assessed"
    },
    "request_association_probe": {
      "details": {
        "reason": "no_request_association_capabilities_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "resource_read": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-06-18",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "14",
          "x-ratelimit-reset": "1786173299"
        },
        "http_status": 200,
        "payload": {
          "error": {
            "code": -32001,
            "message": "Unauthorized: provide a valid Lumify API key as a Bearer token."
          },
          "id": 6,
          "jsonrpc": "2.0"
        },
        "resource_uri": "lumify://sports",
        "url": "https://lumify.ai/mcp"
      },
      "latency_ms": 95.49,
      "status": "error"
    },
    "resources_list": {
      "details": {
        "headers": {
          "content-type": "application/json",
          "mcp-protocol-version": "2025-06-18",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "15",
          "x-ratelimit-reset": "1786173299"
        },
        "http_status": 200,
        "payload": {
          "id": 5,
          "jsonrpc": "2.0",
          "result": {
            "resources": [
              {
                "description": "Supported sports with their leagues and current season (JSON). The 'what can I query' entrypoint \u2014 resolve sport/league slugs and season ids here before calling list_events, list_teams, or search_players.",
                "mimeType": "application/json",
                "name": "sports_catalog",
                "title": "Sports & leagues catalog",
                "uri": "lumify://sports"
              },
              {
                "description": "Endpoint, zero-signup instant-key authentication, the full tool map, and the credit model \u2014 everything needed to make a first call.",
                "mimeType": "text/markdown",
                "name": "quickstart",
                "title": "Quickstart & authentication",
                "uri": "lumify://docs/quickstart"
              }
            ]
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              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
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                "description": "List supported sports with their leagues and current season. Returns each sport's id, slug, name, team-sport flag, and its leagues (each with its current_season). Use list_seasons with current_only=false for historical seasons.",
                "inputSchema": {
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                  "type": "object"
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                "name": "list_sports",
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                    "sports": {
                      "items": {
                        "properties": {
                          "id": {
                            "type": "integer"
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                          "is_team_sport": {
                            "type": "boolean"
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                          "leagues": {
                            "items": {
                              "properties": {
                                "current_season": {
                                  "type": [
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                                    "null"
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                                "name": {
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                                  "type": "string"
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                              "type": "object"
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                          "name": {
                            "type": "string"
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                          "slug": {
                            "type": "string"
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                        "type": "object"
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                      "type": "array"
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                    "total": {
                      "type": "integer"
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                  "type": "object"
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              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
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                "description": "List events (schedules and live scores), paginated by id (after_id). Filter by sport, league, status, date range, season, or team_id (resolve teams via list_teams / get_team). Returns event id, name, sport/league, start time, status, and venue for each; pass include_scores to also inline participants + scores (intended for small result sets \u2014 use get_event for one event's full detail, or query_events for free-text/natural-language filters instead of structured params).",
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                  "properties": {
                    "after_id": {
                      "description": "Cursor: return events with id > after_id (from the previous page's next_after_id).",
                      "type": "integer"
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                    "date": {
                      "description": "UTC date YYYY-MM-DD (single day).",
                      "type": "string"
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                    "from": {
                      "description": "UTC start date YYYY-MM-DD.",
                      "type": "string"
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                    "has_recommend": {
                      "description": "When true, only events with at least one recommended bet.",
                      "type": "boolean"
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                    "include_scores": {
                      "default": false,
                      "description": "Inline participants + scores in each event (intended for small result sets).",
                      "type": "boolean"
                    },
                    "league": {
                      "description": "League slug, e.g. nfl, atp, fifa_world_cup.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 25,
                      "description": "Max events to return per page.",
                      "maximum": 100,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "season_id": {
                      "description": "Filter by season ID (from list_seasons).",
                      "type": "integer"
                    },
                    "sort": {
                      "default": "time",
                      "description": "Sort order. sort=status is incompatible with after_id.",
                      "enum": [
                        "time",
                        "status"
                      ],
                      "type": "string"
                    },
                    "sport": {
                      "description": "Sport slug, e.g. mlb, nfl, tennis, soccer.",
                      "type": "string"
                    },
                    "status": {
                      "description": "Filter to events in this status.",
                      "enum": [
                        "scheduled",
                        "inprogress",
                        "final",
                        "postponed",
                        "cancelled",
                        "suspended",
                        "delayed",
                        "walkover"
                      ],
                      "type": "string"
                    },
                    "team_id": {
                      "description": "Filter to events where this team participates. Resolve ids via list_teams.",
                      "type": "integer"
                    },
                    "to": {
                      "description": "UTC end date YYYY-MM-DD (inclusive).",
                      "type": "string"
                    }
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                  "type": "object"
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                "name": "list_events",
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                      "properties": {
                        "clock": {
                          "type": [
                            "string",
                            "null"
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                        "id": {
                          "type": "integer"
                        },
                        "league": {
                          "type": "string"
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                        "name": {
                          "type": "string"
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                        "period": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "season_id": {
                          "type": [
                            "integer",
                            "null"
                          ]
                        },
                        "sport": {
                          "type": "string"
                        },
                        "starts_at": {
                          "description": "ISO-8601 UTC start time.",
                          "type": "string"
                        },
                        "status": {
                          "type": "string"
                        },
                        "venue": {
                          "type": [
                            "object",
                            "null"
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                      },
                      "type": "object"
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                  "properties": {
                    "events": {
                      "items": {
                        "$ref": "#/$defs/EventSummary"
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                      "type": "array"
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                    "next_after_id": {
                      "description": "Pass as after_id to fetch the next page; null on the last page.",
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "total": {
                      "type": "integer"
                    }
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                  "type": "object"
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              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
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                "description": "Get a single event with participants and venue. Optionally inline current odds and/or bet intelligence (+1 credit each, only charged when that data is actually available). Raises a not-found error if event_id doesn't exist. Use list_events / query_events to discover ids first, or batch_get_events to fetch several ids in one call.",
                "inputSchema": {
                  "properties": {
                    "bookmaker": {
                      "description": "Bookmaker for inlined odds and intelligence market prices. Defaults to pinnacle. Valid: pinnacle, fanduel, draftkings, betmgm, caesars, bet365, circa, hardrock, betonline, all.",
                      "type": "string"
                    },
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    },
                    "include_intelligence": {
                      "default": false,
                      "description": "Inline bet intelligence (+1 credit when available).",
                      "type": "boolean"
                    },
                    "include_odds": {
                      "default": false,
                      "description": "Inline current odds scoped by bookmaker (default: pinnacle). +1 credit for a single book when available; +2 for bookmaker=all or a comma-separated list.",
                      "type": "boolean"
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                  },
                  "required": [
                    "event_id"
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                  "type": "object"
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                "name": "get_event",
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                  "properties": {
                    "id": {
                      "type": "integer"
                    },
                    "league": {
                      "type": "string"
                    },
                    "name": {
                      "type": "string"
                    },
                    "participants": {
                      "items": {
                        "properties": {
                          "is_winner": {
                            "type": [
                              "boolean",
                              "null"
                            ]
                          },
                          "participant_id": {
                            "type": "integer"
                          },
                          "player": {
                            "type": [
                              "object",
                              "null"
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                          "role": {
                            "type": "string"
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                          "score": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "team": {
                            "type": [
                              "object",
                              "null"
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                        "type": "object"
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                      "type": "array"
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                    "sport": {
                      "type": "string"
                    },
                    "starts_at": {
                      "type": "string"
                    },
                    "status": {
                      "type": "string"
                    },
                    "updated_at": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "venue": {
                      "type": [
                        "object",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get multiple events by id in one call \u2014 for agents that already have a list of ids and want full detail for each without one call per event. Max 25 ids. Returns full detail for every id that exists plus a not_found list for any that don't (never billed). Use get_event for a single id, or list_events / query_events to discover ids first.",
                "inputSchema": {
                  "properties": {
                    "bookmaker": {
                      "description": "Bookmaker for inlined odds and intelligence market prices. Defaults to pinnacle. Valid: pinnacle, fanduel, draftkings, betmgm, caesars, bet365, circa, hardrock, betonline, all.",
                      "type": "string"
                    },
                    "event_ids": {
                      "description": "Event ids to fetch (max 25); duplicates are billed once.",
                      "items": {
                        "type": "integer"
                      },
                      "maxItems": 25,
                      "type": "array"
                    },
                    "include_intelligence": {
                      "default": false,
                      "description": "Inline bet intelligence on each event (+1 credit per event when available).",
                      "type": "boolean"
                    },
                    "include_odds": {
                      "default": false,
                      "description": "Inline current odds scoped by bookmaker (default: pinnacle). +1 credit per event for a single book when available; +2 for bookmaker=all or a comma-separated list.",
                      "type": "boolean"
                    }
                  },
                  "required": [
                    "event_ids"
                  ],
                  "type": "object"
                },
                "name": "batch_get_events",
                "outputSchema": {
                  "properties": {
                    "events": {
                      "description": "Full event detail (same shape as get_event) for every found id.",
                      "items": {
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "not_found": {
                      "description": "Requested event_ids that don't exist. Never billed.",
                      "items": {
                        "type": "integer"
                      },
                      "type": "array"
                    },
                    "total": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
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              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Search events with a natural-language query instead of structured filters \u2014 e.g. 'live nfl games today' or 'college basketball this week'. Rule-based (not an LLM): recognizes sport (nfl/nba/mlb/nhl/tennis/soccer/ncaaf/ncaab + aliases like hockey, american football, college basketball), status (live/final/upcoming/\u2026), dates (today/tomorrow, this week, next N days, YYYY-MM-DD ranges). Bare 'football' is ambiguous and left unrecognized. Response includes interpreted filters, equivalent REST call, and unrecognized_terms. Prefer list_events when you already know the structured filters you want.",
                "inputSchema": {
                  "properties": {
                    "limit": {
                      "description": "Overrides any limit parsed from the query text. Max 100.",
                      "type": "integer"
                    },
                    "query": {
                      "description": "Free text, e.g. 'live nfl games today'.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "query"
                  ],
                  "type": "object"
                },
                "name": "query_events",
                "outputSchema": {
                  "properties": {
                    "equivalent_request": {
                      "description": "The literal GET /v1/events request this query was translated to.",
                      "type": "string"
                    },
                    "events": {
                      "items": {
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "interpreted": {
                      "description": "The list_events-equivalent filters parsed from the query text (sport, status, date, from, to, limit).",
                      "type": "object"
                    },
                    "next_after_id": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "query": {
                      "description": "The original natural-language query text.",
                      "type": "string"
                    },
                    "total": {
                      "type": "integer"
                    },
                    "unrecognized_terms": {
                      "description": "Query words that didn't map to a known filter.",
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get a lightweight live score snapshot for an event: status, period, clock, per-participant score and period-by-period scores, and last-updated time. Cheaper and faster than get_event when you only need the score, not participants or venue. Raises a not-found error if event_id doesn't exist.",
                "inputSchema": {
                  "properties": {
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "event_id"
                  ],
                  "type": "object"
                },
                "name": "get_live_score",
                "outputSchema": {
                  "properties": {
                    "clock": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "event_id": {
                      "type": "integer"
                    },
                    "finished": {
                      "type": "boolean"
                    },
                    "period": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "scores": {
                      "items": {
                        "properties": {
                          "abbreviation": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "is_winner": {
                            "type": [
                              "boolean",
                              "null"
                            ]
                          },
                          "name": {
                            "type": "string"
                          },
                          "period_scores": {
                            "items": {
                              "type": "object"
                            },
                            "type": "array"
                          },
                          "role": {
                            "type": "string"
                          },
                          "score": {
                            "type": [
                              "string",
                              "null"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "status": {
                      "type": "string"
                    },
                    "updated_at": {
                      "type": [
                        "string",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
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              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
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                "description": "Get current betting odds for an event: per-bookmaker lines and last-updated time. bookmaker defaults to pinnacle (1 credit). Use 'all' or a comma-separated list for multiple books (2 credits). Returns available:false with no charge if odds aren't posted for this event yet. Use get_odds_history for line movement over time.",
                "inputSchema": {
                  "properties": {
                    "bookmaker": {
                      "description": "Bookmaker slug. Defaults to pinnacle. Valid: pinnacle, fanduel, draftkings, betmgm, caesars, bet365, circa, hardrock, betonline, all, or a comma-separated list.",
                      "type": "string"
                    },
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "event_id"
                  ],
                  "type": "object"
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                "name": "get_odds",
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                  "properties": {
                    "available": {
                      "type": "boolean"
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                    "bookmakers": {
                      "items": {
                        "type": "object"
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                      "type": "array"
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                    "event_id": {
                      "type": "integer"
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                    "last_updated": {
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                  "type": "object"
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              {
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                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
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                "description": "Get line-movement history for an event: a list of past odds snapshots (movements), each with its own timestamp, up to limit entries. bookmaker defaults to pinnacle. Use get_odds instead if you only need the current line.",
                "inputSchema": {
                  "properties": {
                    "bookmaker": {
                      "description": "Bookmaker slug. Defaults to pinnacle. Valid: pinnacle, fanduel, draftkings, betmgm, caesars, bet365, circa, hardrock, betonline, all, or a comma-separated list.",
                      "type": "string"
                    },
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    },
                    "limit": {
                      "default": 50,
                      "description": "Max line-movement entries to return. Default 50.",
                      "type": "integer"
                    }
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                    "event_id"
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                  "type": "object"
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                "name": "get_odds_history",
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                      "type": "integer"
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                    "movements": {
                      "description": "Odds snapshots over time; each entry carries its own timestamp.",
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                        "type": "object"
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                      "type": "array"
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                    "total": {
                      "type": "integer"
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                  "type": "object"
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                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
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                "description": "Get raw, deterministic team and match statistics for a soccer or MLB event \u2014 no market/odds data (use get_odds for that) and no scoring, weighting, confidence, or narrative attached; use get_intelligence for Lumify's judgment layer. The payload shape is sport-specific \u2014 branch on league_slug/the presence of MLB-only fields like teams.<side>.record; soccer and MLB never share field names. Soccer: team strength (league-table PPG or FIFA rank), recent form, head-to-head history, rest days, home/away splits, and boxscore rates (shots/SoT for & against, possession, corners, cards, save rate) over explicit windows rates_l5/rates_season, computed from completed results and ESPN team box scores. MLB: season-to-date W/L record + run differential, recent form (runs scored/allowed), head-to-head history, rest days, team batting/pitching rates (rates_l5/rates_season \u2014 AVG/ERA/WHIP/K9/BB9 and component counts) computed from ingested box scores, the game's starting pitcher's own season ERA/WHIP/K9/BB9 (outs-based math), and lineup (batting order + starting pitcher + subs) from completed-game box scores \u2014 Path A is post-final only (no pregame probable pitchers). Soccer and MLB only today. Returns available:false with no charge if either team hasn't resolved for this fixture yet.",
                "inputSchema": {
                  "properties": {
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "event_id"
                  ],
                  "type": "object"
                },
                "name": "get_stats",
                "outputSchema": {
                  "properties": {
                    "available": {
                      "description": "False when either team hasn't resolved yet; every other field is omitted and the call isn't billed.",
                      "type": "boolean"
                    },
                    "event_id": {
                      "description": "Lumify event ID.",
                      "type": "integer"
                    },
                    "head_to_head": {
                      "description": "Past meetings between these two teams: {window, meetings, total}. Soccer meetings are {home_goals, away_goals}; MLB meetings are {home_runs, away_runs}.",
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "league_context": {
                      "description": "Soccer only. {avg_goals_per_team}: league-wide baseline goals/team/game, used by get_intelligence's attack/defense scoring. Null for fixed-baseline competitions.",
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "league_slug": {
                      "description": "League slug, e.g. 'mls' or 'mlb'.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "neutral_site": {
                      "description": "Soccer only. Whether this fixture is at a neutral venue. Informational here; factored into home-advantage scoring on get_intelligence.",
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "profile": {
                      "description": "Soccer only. 'world_cup' or 'club'.",
                      "type": "string"
                    },
                    "teams": {
                      "description": "home/away raw stats. Soccer: recent_form, team_strength (club: rank/GD/W-D-L; WC: fifa_rank), venue, rest_days, sos (club avg opp PPG; null for WC), lineup (formation + starters), rates_l5, rates_season (shots/SoT for&against, possession, save_rate, \u2026; each rate block includes field_games). MLB: record (season-to-date W/L + run differential), recent_form (runs scored/allowed), rest_days, rates_l5/rates_season (AVG/ERA/WHIP/K9/BB9 + component counts, each with field_games), starting_pitcher (own season ERA/WHIP/K9/BB9; available:false pre-lineup), lineup (batting_order + starting_pitcher + bench; no formation field).",
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "windows": {
                      "description": "Explicit sample depths. Soccer: recent_form (5), rates_l5 (5), rates_season ('season' \u2014 a deliberately variable-length window, see each team's rates_season.games), head_to_head (10), sos (5). MLB: recent_form (5), rates_l5 (5), rates_season ('season'), head_to_head (10) \u2014 no sos.",
                      "type": [
                        "object",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get public betting splits (bets% and handle%) for an event: a consensus split plus a per-book breakdown, with a captured_at timestamp. Available for MLB, NBA, NHL, and NFL. Not available for tennis, soccer, or NCAAF (upstream does not expose splits). Returns available:false with no charge if splits haven't been captured for this event yet or the sport is unsupported.",
                "inputSchema": {
                  "properties": {
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "event_id"
                  ],
                  "type": "object"
                },
                "name": "get_splits",
                "outputSchema": {
                  "properties": {
                    "available": {
                      "type": "boolean"
                    },
                    "books": {
                      "description": "Per-bookmaker splits breakdown.",
                      "items": {
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "captured_at": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "consensus": {
                      "description": "Aggregate bets%/handle% across books.",
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "event_id": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get AI bet intelligence for an event. bets[] comes in two shapes \u2014 branch on the presence of probability (probability model) vs. confidence_score (points model). Probability model, currently soccer/MLS only: bets carry probability/interval/p_model/p_market/blend_w/fair_price/edge/sufficiency/phase/model_version/drivers and no confidence_score, coverage, signals, or validator. probability is calibrated and sums to 1 across a market's outcomes; p_market is the de-vigged market price, which you cannot recompute from a single price. Where no fitted model has cleared out-of-sample validation for a league, blend_w is 0, probability equals p_market, and p_model/edge/tier are null \u2014 a probability taken from the market has no honest edge against the price it came from; treat those events as fair-price reference, not as picks. drivers is normally empty then; two exceptions carry effect 0 and never move probability: Stage 6 Match Context drivers (soccer.match_context.*), which may cite the Fact Ledger, and soccer.cross_book_edge, the market-anchored price gap already in edges_by_book/best_edge (line-shopping, not EV). Points model, every other sport/league: confidence scores, signal breakdowns, rationale, and narratives per bet. Signal keys (signal_serve_rtn, signal_surface, etc.) are shared across sports but mean different things per sport (for soccer signal_serve_rtn is Attack/Defense Edge, not tennis Serve/Return) \u2014 for NFL, NCAAF, and points-model soccer leagues, bets[].signals._labels maps each present signal_* key to its sport-specific label; prefer rationale/attribution for prose when you don't need raw scores. Both shapes include event-level analyst_take and match_overview. Match-level tokens (OVER, UNDER, ML_DRAW) have null player_role/player_id/team_id/player_name, so summing exposure by team_id never double-counts a draw. bookmaker defaults to pinnacle and is a no-op for probability-model sports, which report the book their assessment was priced against. Returns available:false with no charge if intelligence hasn't been computed yet for this event/bookmaker.",
                "inputSchema": {
                  "properties": {
                    "bookmaker": {
                      "description": "Bookmaker slug for market prices on recommended bets. Defaults to pinnacle. Valid: pinnacle, fanduel, draftkings, betmgm, caesars, bet365, circa, hardrock, betonline. No effect for probability-model sports (currently soccer/MLS), which report the book their assessment was priced against.",
                      "type": "string"
                    },
                    "event_id": {
                      "description": "Event id, from list_events, query_events, or search results.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "event_id"
                  ],
                  "type": "object"
                },
                "name": "get_intelligence",
                "outputSchema": {
                  "properties": {
                    "analyst_take": {
                      "description": "Short natural-language read on the event as a whole. Null when no narrative has been generated.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "available": {
                      "description": "False when no intelligence has been computed for this event yet \u2014 every other field is then null/empty and the request is not charged.",
                      "type": "boolean"
                    },
                    "bets": {
                      "items": {
                        "properties": {
                          "alignment": {
                            "description": "Qualitative-overlay agreement detail. Populated only when phase is 'full'; null for every 'quant' assessment. Probability-model sports only.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "attribution": {
                            "description": "Attribution keys backing rationale, same order. Points-model sports only.",
                            "items": {
                              "type": "string"
                            },
                            "type": "array"
                          },
                          "best": {
                            "description": "Highest price-gap pick across edges_by_book: {book, price, edge, quote_age_seconds}. edge is the raw max (shrinkage=0.0 \u2014 won't-fit at N=2). Same caveats as edges_by_book: a price gap versus a de-vigged sharp reference, NOT an expected-value claim; at N=2 winner's-curse \u2248171% of mean positive gap and closing-time N=2 backfill realized \u2248\u22122.5% on positive-gap picks. Use best.book/best.price as the line-shopping target for this outcome; do not read best.edge as EV or as a bet recommendation. quote_age_seconds is best.book's posted-price age; stale quotes (>30 min) are excluded before selection. Populated for MLS as of Stage 5 v1; null otherwise. Probability-model sports only.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "bet_type": {
                            "description": "Canonical bet token, e.g. ML_HOME/ML_AWAY/ML_DRAW (soccer), ML_P1/ML_P2 (head-to-head sports), SPREAD_HOME/SPREAD_AWAY, OVER, UNDER.",
                            "type": "string"
                          },
                          "blend_w": {
                            "description": "Weight on p_model when blending with p_market, 0-1. 0 means the published probability is purely the de-vigged market. Enabled per league and per bet token. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "computed_at": {
                            "description": "ISO-8601 UTC time this bet's numbers last materially changed \u2014 not when last checked. Rows are only rewritten when price, line, or probability moves beyond a tolerance, so an older value means 'unchanged since', not 'stale'. Differs between bets on one event because markets move independently.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "confidence_score": {
                            "description": "Points-engine score, 0-1, not a calibrated probability. Points-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "coverage": {
                            "description": "Signal-coverage fraction, 0-1. Points-model sports only \u2014 the probability model uses sufficiency instead.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "drivers": {
                            "description": "Named, signed contributions to probability: {id, input, effect, direction, evidence} where effect is the probability shift, direction is up/down/neutral, and evidence is null (quant drivers) or a list of {fact_id, as_of} citations into the Fact Ledger (evidence-derived drivers) \u2014 never an embedded quote/URL. Normally empty when no model contributed (blend_w 0); two exceptions carry effect 0 and never move probability: Stage 6 Match Context drivers (soccer.match_context.*, evidence-backed) and soccer.cross_book_edge (market-anchored price gap vs. the sharp consensus; input is the same gap already published in edges_by_book \u2014 a line-shopping signal, not an expected-value claim). Probability-model sports only.",
                            "items": {
                              "type": "object"
                            },
                            "type": "array"
                          },
                          "edge": {
                            "description": "Expected profit per 1 unit staked at market.price (probability x decimal_odds - 1). Null whenever blend_w is 0, since a market-derived probability has no honest edge against its own price. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "edges_by_book": {
                            "description": "Price gap versus the sharp-reference fair.probability, keyed by bookmaker (fair.probability \u00d7 decimal_odds \u2212 1 at each book's posted price). A price-gap / line-shopping metric, NOT an expected-value recommendation: at N=2 soft-book coverage the measured winner's-curse component of a max-of-N pick is ~171% of the mean positive gap, and a closing-time N=2 backfill simulation realized \u2248\u22122.5% on the positive-gap population (SOCCER_PROGRAM_PLAN.md \u00a75.0 E/tenth pass). Rank soft books by these gaps for line-shopping (largest gap = furthest above the sharp reference); do not treat a positive gap as EV or as a bet recommendation, and do not badge picks as '+EV'. Populated for MLS as of Stage 5 v1 (FanDuel/Hard Rock); null otherwise. Probability-model sports only.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "fair": {
                            "description": "Sharp-consensus fair price: {probability, books, n_books, is_consensus}. Distinct from p_market (the priced book's own de-vig) and fair_price (odds implied by probability) \u2014 this is the sharp-book reference a cross-book edge is measured against. is_consensus is false at n_books < 2 (true for every soccer row today \u2014 Pinnacle is the only soccer sharp book). Populated for MLS as of Stage 5 v1 (2026-07-29); null for every other league until its own multi-book fetch is wired. Probability-model sports only.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "fair_price": {
                            "description": "American-odds fair price implied by probability \u2014 the vig-free line. Compare to market.price for the book's margin on this side. Probability-model sports only.",
                            "type": [
                              "integer",
                              "null"
                            ]
                          },
                          "interval": {
                            "description": "[lo, hi] band around probability driven by sufficiency \u2014 how much evidence backs the number, not a statistical confidence interval. When blend_w is 0 it reflects how mature and well-traded the quoted line is. Probability-model sports only.",
                            "items": {
                              "type": "number"
                            },
                            "type": [
                              "array",
                              "null"
                            ]
                          },
                          "market": {
                            "description": "Market quote: {price: American odds, line: handicap/total line or null for moneyline, book: bookmaker slug when known (always set for probability-model sports)}.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "model_version": {
                            "description": "Parameter-set identifier so a number can be traced to the version that produced it. 'market_anchor' means no fitted model contributed. Per bet. Probability-model sports only.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "narrative": {
                            "description": "Per-bet narrative sentence. Points-model sports only.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "p_market": {
                            "description": "De-vigged market probability, pre-blend. Vig is removed across the whole market so outcomes sum to 1 \u2014 not recoverable from one price by implied-probability math. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "p_model": {
                            "description": "The fitted model's own probability, pre-blend. Null for leagues with no model cleared for publication \u2014 currently every soccer league. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "phase": {
                            "description": "'quant' when purely deterministic; 'full' once a qualitative overlay (lineups, injuries, research) is attached, which is when alignment is populated. Probability-model sports only.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "player_id": {
                            "description": "Set when this bet is about an individual player. Null for team bets and match-level tokens.",
                            "type": [
                              "integer",
                              "null"
                            ]
                          },
                          "player_name": {
                            "description": "Display name of the player or team this bet is about. Null for match-level tokens. Duplicates players[player_role].name.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "player_role": {
                            "description": "'home'/'away' or 'p1'/'p2'. Null for match-level tokens (OVER, UNDER, ML_DRAW).",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "probability": {
                            "description": "Published probability for this outcome, 0-1. Equals p_market when blend_w is 0; otherwise the blend of p_model and p_market. Outcomes of one market sum to 1. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "rationale": {
                            "description": "Human-readable rationale bullets. Points-model sports only.",
                            "items": {
                              "type": "string"
                            },
                            "type": "array"
                          },
                          "signals": {
                            "description": "Per-signal point breakdown. Points-model sports only \u2014 the probability model uses drivers instead.",
                            "type": [
                              "object",
                              "null"
                            ]
                          },
                          "sufficiency": {
                            "description": "How much evidence backs this assessment, 0-1; sets interval width and caps tier. While blend_w is 0 it measures the quoted line's maturity (movement count and hours since first quote); once a model carries weight it reflects model sample depth. Probability-model sports only.",
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "team_id": {
                            "description": "Set when this bet is about a team. Null for match-level tokens (OVER, UNDER, ML_DRAW) \u2014 a draw is not a bet on either team, so summing exposure by team_id never double-counts it.",
                            "type": [
                              "integer",
                              "null"
                            ]
                          },
                          "tier": {
                            "description": "Confidence tier: 'very_high', 'strong', 'moderate', or 'avoid'. Present for both shapes. For probability-model sports it is null whenever edge is null \u2014 a tier ranks a bet against its price.",
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "validator": {
                            "description": "Qualitative-validator verdict: {stance, confidence, delta, validated_at}. Points-model sports only.",
                            "type": [
                              "object",
                              "null"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "event_id": {
                      "description": "Lumify event ID this intelligence describes.",
                      "type": "integer"
                    },
                    "has_recommend": {
                      "description": "True when at least one bet meets the recommendation threshold; null when intelligence has not been computed. False for any probability-model event whose bets are all market-anchored (blend_w 0), since a recommendation requires an edge.",
                      "type": [
                        "boolean",
                        "null"
                      ]
                    },
                    "intelligence_updated_at": {
                      "description": "ISO-8601 UTC timestamp of the most recent change anywhere in this payload (max of per-bet computed_at). Use per-bet computed_at to reason about a specific bet.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "league": {
                      "description": "League slug for this event, if any.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "match_overview": {
                      "description": "Longer natural-language matchup preview \u2014 form, context, what to watch. Null when no narrative has been generated.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "matchup": {
                      "description": "MLB-only probable-starter context (home_starter/away_starter with name/hand/era/confirmed). Absent for every other sport.",
                      "type": [
                        "object",
                        "null"
                      ]
                    },
                    "odds_source": {
                      "description": "Bookmaker bets[].market prices were sourced from. For probability-model sports this is the book the assessment was priced against, not a bookmaker overlay; per-bet market.book is authoritative if they ever differ.",
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "players": {
                      "description": "Home/away (or p1/p2) participant identification, keyed by role: {role: {name, player_id, team_id}}.",
                      "type": "object"
                    },
                    "sport": {
                      "description": "Sport slug for this event.",
                      "type": [
                        "string",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "List teams, paginated by id (after_id). Filter by sport, league, conference, division, country, active status, or name (q, partial match). Returns each team's id, slug, name, city, conference/division, and venue. Use get_team for full detail on one id once resolved here.",
                "inputSchema": {
                  "properties": {
                    "active": {
                      "description": "Filter by active status.",
                      "type": "boolean"
                    },
                    "after_id": {
                      "description": "Cursor: last team id from the previous page's next_after_id.",
                      "type": "integer"
                    },
                    "conference": {
                      "description": "Conference name, e.g. AFC, Eastern.",
                      "type": "string"
                    },
                    "country": {
                      "description": "ISO country code, e.g. USA.",
                      "type": "string"
                    },
                    "division": {
                      "description": "Division name, e.g. AFC East.",
                      "type": "string"
                    },
                    "league": {
                      "description": "League slug, e.g. nfl, mls.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 25,
                      "description": "Max teams to return per page.",
                      "maximum": 100,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "q": {
                      "description": "Team name search (partial match).",
                      "type": "string"
                    },
                    "sport": {
                      "description": "Sport slug, e.g. nfl, nba, soccer.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "list_teams",
                "outputSchema": {
                  "$defs": {
                    "Team": {
                      "properties": {
                        "abbreviation": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "city": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "conference": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "country_code": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "division": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "id": {
                          "type": "integer"
                        },
                        "is_active": {
                          "type": "boolean"
                        },
                        "league": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "name": {
                          "type": "string"
                        },
                        "short_name": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "slug": {
                          "type": "string"
                        },
                        "sport": {
                          "type": "string"
                        },
                        "state": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "venue": {
                          "type": [
                            "object",
                            "null"
                          ]
                        }
                      },
                      "type": "object"
                    }
                  },
                  "properties": {
                    "data": {
                      "items": {
                        "$ref": "#/$defs/Team"
                      },
                      "type": "array"
                    },
                    "has_more": {
                      "type": "boolean"
                    },
                    "next_after_id": {
                      "description": "Pass as after_id to fetch the next page; null on the last page.",
                      "type": [
                        "integer",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Search players by name, sport, country, ranking, or active status, paginated by id (after_id). Returns each player's id, name, position, current team, and tennis ranking if applicable. Use get_player for full detail on one id, or get_player_events for a player's schedule/results.",
                "inputSchema": {
                  "properties": {
                    "active": {
                      "description": "Filter by active status.",
                      "type": "boolean"
                    },
                    "after_id": {
                      "description": "Cursor: last player id from the previous page's next_after_id.",
                      "type": "integer"
                    },
                    "country": {
                      "description": "ISO 3166-1 alpha-3 country code, e.g. USA.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 25,
                      "description": "Max players to return per page.",
                      "maximum": 100,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "q": {
                      "description": "Name search (partial match).",
                      "type": "string"
                    },
                    "ranked": {
                      "description": "If true, only players with a tennis ranking.",
                      "type": "boolean"
                    },
                    "sport": {
                      "description": "Sport slug, e.g. tennis, nba.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "search_players",
                "outputSchema": {
                  "$defs": {
                    "Player": {
                      "properties": {
                        "birthdate": {
                          "description": "YYYY-MM-DD.",
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "country_code": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "current_team_id": {
                          "type": [
                            "integer",
                            "null"
                          ]
                        },
                        "current_team_name": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "full_name": {
                          "type": "string"
                        },
                        "id": {
                          "type": "integer"
                        },
                        "is_active": {
                          "type": "boolean"
                        },
                        "position": {
                          "type": [
                            "string",
                            "null"
                          ]
                        },
                        "slug": {
                          "type": "string"
                        },
                        "sport": {
                          "type": "string"
                        },
                        "tennis_ranking": {
                          "type": [
                            "integer",
                            "null"
                          ]
                        }
                      },
                      "type": "object"
                    }
                  },
                  "properties": {
                    "data": {
                      "items": {
                        "$ref": "#/$defs/Player"
                      },
                      "type": "array"
                    },
                    "has_more": {
                      "type": "boolean"
                    },
                    "next_after_id": {
                      "description": "Pass as after_id to fetch the next page; null on the last page.",
                      "type": [
                        "integer",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get a single team profile with its home venue. Raises a not-found error if team_id doesn't exist. Resolve ids via list_teams.",
                "inputSchema": {
                  "properties": {
                    "team_id": {
                      "description": "Team id, from list_teams.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "team_id"
                  ],
                  "type": "object"
                },
                "name": "get_team",
                "outputSchema": {
                  "properties": {
                    "abbreviation": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "city": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "conference": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "division": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "id": {
                      "type": "integer"
                    },
                    "is_active": {
                      "type": "boolean"
                    },
                    "league": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "name": {
                      "type": "string"
                    },
                    "slug": {
                      "type": "string"
                    },
                    "sport": {
                      "type": "string"
                    },
                    "venue": {
                      "type": [
                        "object",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "Get a single player profile: name, sport, country, position/handedness, physical stats, current team, and tennis ranking if applicable. Raises a not-found error if player_id doesn't exist. Resolve ids via search_players.",
                "inputSchema": {
                  "properties": {
                    "player_id": {
                      "description": "Player id, from search_players.",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "player_id"
                  ],
                  "type": "object"
                },
                "name": "get_player",
                "outputSchema": {
                  "properties": {
                    "birthdate": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "country_code": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "current_team_id": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "current_team_name": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "full_name": {
                      "type": "string"
                    },
                    "handedness": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "height_cm": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "id": {
                      "type": "integer"
                    },
                    "is_active": {
                      "type": "boolean"
                    },
                    "position": {
                      "type": [
                        "string",
                        "null"
                      ]
                    },
                    "slug": {
                      "type": "string"
                    },
                    "sport": {
                      "type": "string"
                    },
                    "tennis_ranking": {
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "weight_kg": {
                      "type": [
                        "number",
                        "null"
                      ]
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "List a player's events (schedule/results), paginated by id (after_id). Defaults to \u00b130 days around today when no date filter is given. Resolve player_id via search_players first.",
                "inputSchema": {
                  "properties": {
                    "after_id": {
                      "description": "Cursor: last event id from the previous page's next_after_id.",
                      "type": "integer"
                    },
                    "from": {
                      "description": "Start date YYYY-MM-DD.",
                      "type": "string"
                    },
                    "limit": {
                      "default": 25,
                      "description": "Max events to return per page.",
                      "maximum": 100,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "player_id": {
                      "description": "Player id, from search_players.",
                      "type": "integer"
                    },
                    "status": {
                      "description": "Filter to events in this status.",
                      "enum": [
                        "scheduled",
                        "inprogress",
                        "final",
                        "postponed",
                        "cancelled",
                        "suspended",
                        "delayed",
                        "walkover"
                      ],
                      "type": "string"
                    },
                    "to": {
                      "description": "End date YYYY-MM-DD.",
                      "type": "string"
                    }
                  },
                  "required": [
                    "player_id"
                  ],
                  "type": "object"
                },
                "name": "get_player_events",
                "outputSchema": {
                  "properties": {
                    "data": {
                      "description": "Events in the same shape as list_events' EventSummary.",
                      "items": {
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "has_more": {
                      "type": "boolean"
                    },
                    "next_after_id": {
                      "description": "Pass as after_id to fetch the next page; null on the last page.",
                      "type": [
                        "integer",
                        "null"
                      ]
                    },
                    "player_id": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": true,
                  "readOnlyHint": true
                },
                "description": "List seasons per sport/league. By default returns only currently active seasons; pass current_only=false to include historical seasons. Optionally filter by sport. Returns each season's id, year, phase, start/end dates, and whether it is_current. Use list_sports for just each sport's current season.",
                "inputSchema": {
                  "properties": {
                    "current_only": {
                      "default": true,
                      "description": "Return only currently active seasons (default true). Pass false for historical seasons.",
                      "type": "boolean"
                    },
                    "sport": {
                      "description": "Filter by sport slug, e.g. nhl, nba, soccer.",
                      "type": "string"
                    }
                  },
                  "type": "object"
                },
                "name": "list_seasons",
                "outputSchema": {
                  "properties": {
                    "seasons": {
                      "items": {
                        "properties": {
                          "end_date": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "id": {
                            "type": "integer"
                          },
                          "is_current": {
                            "type": "boolean"
                          },
                          "league": {
                            "type": "object"
                          },
                          "name": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "phase": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "sport": {
                            "type": "object"
                          },
                          "start_date": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "year": {
                            "type": [
                              "integer",
                              "null"
                            ]
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "total": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Estimate the credit cost of one or more planned tool calls before making them \u2014 no credits are spent. Costs are data-dependent (e.g. odds/intelligence/splits not yet ingested for an event are free, and batch_get_events ids that don't exist cost nothing), so this returns a [min_credits, max_credits] range per call rather than a single number. Pass the exact tool name and arguments you're considering, e.g. {\"tool\": \"get_event\", \"arguments\": {\"event_id\": 123, \"include_odds\": true}}.",
                "inputSchema": {
                  "properties": {
                    "calls": {
                      "items": {
                        "properties": {
                          "arguments": {
                            "description": "Same arguments you'd pass to that tool.",
                            "type": "object"
                          },
                          "tool": {
                            "description": "Tool name to estimate, e.g. get_event, batch_get_events, get_odds.",
                            "type": "string"
                          }
                        },
                        "required": [
                          "tool"
                        ],
                        "type": "object"
                      },
                      "maxItems": 50,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "calls"
                  ],
                  "type": "object"
                },
                "name": "estimate_cost",
                "outputSchema": {
                  "properties": {
                    "estimates": {
                      "items": {
                        "properties": {
                          "max_credits": {
                            "type": "integer"
                          },
                          "min_credits": {
                            "type": "integer"
                          },
                          "note": {
                            "type": [
                              "string",
                              "null"
                            ]
                          },
                          "tool": {
                            "type": "string"
                          }
                        },
                        "type": "object"
                      },
                      "type": "array"
                    },
                    "total_max_credits": {
                      "type": "integer"
                    },
                    "total_min_credits": {
                      "type": "integer"
                    }
                  },
                  "type": "object"
                }
              }
            ]
          }
        },
        "url": "https://lumify.ai/mcp"
      },
      "latency_ms": 159.73,
      "status": "ok"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json",
          "x-ratelimit-limit": "20",
          "x-ratelimit-remaining": "11",
          "x-ratelimit-reset": "1786173299"
        },
        "bad_protocol_payload": {
          "error": {
            "code": -32600,
            "message": "Unsupported MCP-Protocol-Version: 1999-99-99"
          },
          "id": null,
          "jsonrpc": "2.0"
        },
        "bad_protocol_status_code": 400,
        "delete_error": null,
        "delete_status_code": null,
        "expired_session_error": null,
        "expired_session_status_code": null,
        "issues": [
          "missing_session_id"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": true,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": false,
        "transport": "streamable-http"
      },
      "latency_ms": 87.74,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": false,
          "live_probe": "not_executed",
          "sample_target": {
            "argument_name": "sport",
            "name": "todays_games",
            "type": "prompt"
          }
        },
        "initialize_capability_keys": [
          "prompts",
          "resources",
          "tools"
        ],
        "pagination": {
          "metadata_signal": false,
          "next_cursor_methods": [],
          "supported": false
        },
        "tasks": {
          "advertised": false,
          "http_status": 200,
          "probe_status": "missing"
        }
      },
      "latency_ms": 197.3,
      "status": "missing"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://lumify.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://lumify.ai/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    },
    "server_card": {
      "error": "Client error '404 Not Found' for url 'https://lumify.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://lumify.ai/.well-known/mcp/server-card.json"
    }
  },
  "remote_url": "https://lumify.ai/mcp",
  "server_card_payload": null,
  "server_identifier": "ai.lumify/sports-intelligence"
}
Known versions
  • 1.0.1
Validation history
7 day score delta
n/a
30 day score delta
n/a
Recent healthy ratio
100%
Freshness
11.1h
TimestampStatusScoreLatencyTools
Aug 08, 2026 07:14:00 AM UTC Healthy 66.7 1787.8 ms 18
Aug 07, 2026 07:13:52 PM UTC Healthy 40.0 1736.5 ms 0
Aug 07, 2026 07:13:43 AM UTC Healthy 39.7 1705.0 ms 0
Aug 06, 2026 07:13:33 PM UTC Healthy 39.4 1837.7 ms 0
Aug 06, 2026 01:13:19 PM UTC Healthy 42.0 1550.4 ms 0
Aug 06, 2026 07:12:13 AM UTC Healthy 42.0 1812.9 ms 0
Aug 06, 2026 07:12:05 AM UTC Healthy 42.0 1602.4 ms 0
Aug 06, 2026 01:11:35 AM UTC Healthy 42.2 1754.8 ms 0
Validation timeline
ValidatedSummaryScoreProtocolAuth modeToolsHigh-risk toolsChanges
Aug 08, 2026 07:14:00 AM UTC Healthy 66.7 2025-03-26 public 18 0 auth_mode_changed tool_snapshot_changed
Aug 07, 2026 07:13:52 PM UTC Healthy 40.0 unknown unknown 0 0 none
Aug 07, 2026 07:13:43 AM UTC Healthy 39.7 unknown unknown 0 0 none
Aug 06, 2026 07:13:33 PM UTC Healthy 39.4 unknown unknown 0 0 none
Aug 06, 2026 01:13:19 PM UTC Healthy 42.0 unknown unknown 0 0 none
Aug 06, 2026 07:12:13 AM UTC Healthy 42.0 unknown unknown 0 0 none
Aug 06, 2026 07:12:05 AM UTC Healthy 42.0 unknown unknown 0 0 none
Aug 06, 2026 01:11:35 AM UTC Healthy 42.2 unknown unknown 0 0 none
Aug 05, 2026 07:06:49 PM UTC Healthy 45.4 unknown unknown 0 0 none
Aug 04, 2026 08:51:25 PM UTC Healthy 45.6 unknown unknown 0 0 none
Recent validation runs
Recent validation runs for this MCP server
StartedStatusSummaryLatencyChecks
Aug 08, 2026 07:13:58 AM UTC Completed Healthy 1787.8 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, interactive_flow_probe, oauth_authorization_server, oauth_protected_resource, official_registry_probe, openid_configuration, probe_noise_resilience, prompt_get, prompts_list, protocol_version_probe, provenance_divergence_probe, request_association_probe, resource_read, resources_list, schema_divergence_probe, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe
Aug 07, 2026 07:13:50 PM UTC Completed Healthy 1736.5 ms
Aug 07, 2026 07:13:42 AM UTC Completed Healthy 1705.0 ms
Aug 06, 2026 07:13:31 PM UTC Completed Healthy 1837.7 ms
Aug 06, 2026 01:13:17 PM UTC Completed Healthy 1550.4 ms
Aug 06, 2026 07:12:11 AM UTC Completed Healthy 1812.9 ms
Aug 06, 2026 07:12:04 AM UTC Completed Healthy 1602.4 ms
Aug 06, 2026 01:11:33 AM UTC Completed Healthy 1754.8 ms
Aug 05, 2026 07:06:47 PM UTC Completed Healthy 2080.0 ms
Aug 04, 2026 08:51:24 PM UTC Completed Healthy 1470.0 ms
Public server reputation
Validation success 7d
1.0
Validation success 30d
1.0
Mean time to recover
n/a
Breaking diffs 30d
1
Registry drift frequency 30d
0
Snapshot changes 30d
1
Incident & change feed
TimestampEventDetails
Aug 08, 2026 07:14:00 AM UTC Latest validation: healthy Score 66.7 with status healthy.
Aug 08, 2026 07:14:00 AM UTC Score changed Score delta +26.7 versus the previous run.
Aug 08, 2026 07:14:00 AM UTC Tool snapshot changed Added 18, removed 0, and changed 0 tool contracts.
Aug 08, 2026 07:14:00 AM UTC Auth mode changed Auth mode moved from unknown to public.
Aug 07, 2026 07:13:52 PM UTC Score changed Score delta +0.3 versus the previous run.
Aug 07, 2026 07:13:43 AM UTC Score changed Score delta +0.3 versus the previous run.
Aug 05, 2026 10:59:56 AM UTC Score corrected (post-1.0.503 remediation, R1 zero-anchoring) Prior: 76.05. Corrected: 73.69.
Capabilities
Use-case taxonomy
development database search finance
Benchmark tasks
Benchmark taskStatusEvidence
Discover tools Passes
  • initializeOK
  • tools_listOK
Read-only fetch flow Degraded
  • resource_readError
  • read_only_tool_surfaceOK
OAuth-required connect Degraded
  • oauth_protected_resourceError
  • step_up_auth_probeMissing
Safe write flow with confirmation Likely to fail
  • action_safety_probeOK
Utility coverage
Probe status
Missing
Completions
not detected
Completion probe target: { "argument_name": "sport", "name": "todays_games", "type": "prompt" }
Pagination
not detected
No nextCursor evidence.
Tasks
Missing
Advertised: no
Transport compliance drilldown
Probe status
Warning
Transport
streamable-http
Session header
no
Protocol header
yes
Bad protocol response
400
DELETE teardown
n/a
Expired session retry
n/a
Last-Event-ID visible
no

Issues: missing_session_id

Request association
Status
Missing
Advertised capabilities
none
Observed idle methods
none
Violating methods
none
Probe HTTP status
n/a
Issues
none
Connector replay
Status
OK
Backward compatible
Would break after refresh
Added tools
none
Removed tools
none
Additive output changes
none
Required-argument replay breaks
ToolAdded required argsRemoved required args
No required-argument replay breaks detected.
Output-schema replay breaks
ToolRemoved propertiesAdded properties
No output-schema replay breaks detected.
Tool snapshot diff & changelog
Snapshot changed
yes
Added tools
batch_get_events estimate_cost get_event get_intelligence get_live_score get_odds get_odds_history get_player get_player_events get_splits get_stats get_team list_events list_seasons list_sports list_teams query_events search_players
Removed tools
none
Required-argument changes
ToolAdded required argsRemoved required args
No required-argument changes detected.
Output-schema drift
ToolPrevious propertiesLatest properties
No output-schema drift detected.
Validation diff
Score delta
26.67
Summary changed
no
Tool delta
18
Prompt delta
3
Auth mode changed
yes
Write surface expanded
no
Protocol regressed
no
Registry drift changed
no

Regressed checks: oauth_protected_resource, provenance_divergence_probe, resource_read, server_card

Improved checks: action_safety_probe, advanced_capabilities_probe, connector_replay_probe, determinism_probe, initialize, official_registry_probe, probe_noise_resilience, prompt_get, prompts_list, resources_list, tool_snapshot_probe, tools_list

Newly assessed dimensions: none

No longer assessed dimensions: none

ComponentPreviousLatestDelta
No component deltas between the latest two runs.
Registry & provenance divergence
Probe status
Warning
Direct official match
yes
Drift fields
homepage registry_identifier registry_source
FieldRegistryLive server card
Titlen/an/a
Versionn/an/a
Homepagen/an/a
Active alerts
  • Tool snapshot changed (high)
    Tools were added, removed, or materially changed between the latest two validations.
  • Auth mode changed (high)
    Auth mode changed from unknown to public.
Aliases & registry graph
IdentifierSourceCanonicalScore
ai.lumify/sports-intelligence official_registry yes 66.7
awesome-lumifyai/lumify awesome_mcp_servers no 64.6
Alias consolidation
Canonical identifier
ai.lumify/sports-intelligence
Duplicate aliases
1
Registry sources
awesome_mcp_servers official_registry
Source disagreements
FieldWhat differsObserved values
Registry source Multiple registries or registry sync paths claim this same canonical server. awesome_mcp_servers official_registry
Homepage Registry entries disagree on the primary homepage for this server. https://github.com/lumifyai/lumify https://lumify.ai
Registry identifier Different registry-specific identifiers resolve to the same canonical server record here. ai.lumify/sports-intelligence awesome_mcp_servers:lumifyai/lumify

Fix it

Why this score?
Access & Protocol
24/44
Connectivity, auth, and transport expectations for common clients.
Interface Quality
38/56
How well the tool/resource interface communicates and behaves under automation.
Security Posture
22/36
How safely the exposed tool surface handles destructive actions, egress, execution, secrets, and risky inputs.
Reliability & Trust
23/24
Operational stability, consistency, and trustworthiness over time.
Discovery & Governance
15/28
How well the server is documented, listed, and governed in public registries.
Adoption & Market
6/8
Adoption clues and public evidence that the server is intended for external use.
Algorithmic score breakdown
Auth Operability
2/4
Measures whether auth discovery and protected access behave predictably for clients.
Error Contract Quality
1/4
Grades machine-readable error structure, status alignment, and remediation hints.
Rate-Limit Semantics
2/4
Checks whether quota/throttle responses are deterministic and automation-friendly.
Schema Completeness
3/4
Completeness of tool descriptions, parameter docs, examples, and schema shape.
Backward Compatibility
4/4
Stability score across tool schema/name drift relative to prior validations.
SLO Health
4/4
Availability, latency, and burst-failure profile across recent validation history.
Security Hygiene
2/4
HTTPS posture, endpoint hygiene, and response-surface hardening checks.
Task Success
4/4
Can an agent reliably initialize, enumerate tools, and execute core MCP flows?
Trust Confidence
3/4
Confidence-adjusted reliability score that penalizes low evidence volume.
Abuse/Noise Resilience
4/4
How well the server preserves core behavior in the presence of noisy traffic patterns.
Prompt Contract
3/4
Quality of prompt metadata, argument shape, and prompt discoverability for clients.
Resource Contract
3/4
How completely resources and resource templates describe URIs, types, and usage shape.
Discovery Metadata
2/4
Homepage, docs, icon, repository, support, and license coverage for directory consumers.
Registry Consistency
2/4
Agreement between stored registry metadata, live server-card data, and current validation output.
Installability
4/4
How cleanly a real client can connect, initialize, enumerate tools, and proceed through auth.
Session Semantics
4/4
Determinism and state behavior across repeated MCP calls, including sticky-session surprises.
Tool Surface Design
4/4
Naming clarity, schema ergonomics, and parameter complexity across the tool surface.
Result Shape Stability
4/4
Stability of declared output schemas across validations, with penalties for drift or missing shapes.
OAuth Interop
0/4
Depth and client compatibility of OAuth/OIDC metadata beyond the minimal protected-resource check.
Recovery Semantics
1/4
Whether failures include actionable machine-readable next steps such as retry or upgrade guidance.
Maintenance Signal
4/4
Versioning, update recency, and historical validation cadence that indicate active stewardship.
Adoption Signal
3/4
Directory presence and distribution clues that suggest the server is intended for external use.
Freshness Confidence
4/4
Confidence that recent validations are current enough and dense enough to trust operationally.
Transport Fidelity
4/4
Whether declared transport metadata matches the observed endpoint behavior and response formats.
Spec Recency
2/4
How close the server’s claimed MCP protocol version is to the latest known public revision.
Session Resume
3/4
Whether Streamable HTTP session identifiers and resumed requests behave cleanly for real clients.
Step-Up Auth
0/4
Whether OAuth metadata and WWW-Authenticate challenges support granular, incremental consent instead of broad upfront scopes.
Transport Compliance
2/4
Checks session headers, protocol-version enforcement, session teardown, and expired-session behavior.
Utility Coverage
0/4
Signals support for completions, pagination, and task-oriented utility surfaces that larger clients increasingly expect.
Advanced Capability Coverage
1/4
Coverage of newer MCP surfaces like roots, sampling, elicitation, structured output, and related metadata.
Connector Publishability
3/4
How ready the server looks for client catalogs and managed connector programs.
Tool Snapshot Churn
4/4
Stability of the tool surface across recent validations, including add/remove and output-shape drift.
Connector Replay
4/4
Whether a previously published frozen connector snapshot would remain backward compatible after the latest tool refresh.
Request Association
0/4
Whether roots, sampling, and elicitation appear tied to active client requests instead of arriving unsolicited on idle sessions.
Interactive Flow Safety
0/4
Whether prompts and docs steer users toward safe auth flows instead of pasting secrets directly.
Action Safety
3/4
Risk-weighted view of destructive, exec, egress, and confirmation semantics across the tool surface.
Official Registry Presence
4/4
Whether the server appears directly or indirectly in the official MCP registry.
Safety Transparency
2/4
Clarity of docs, auth disclosure, support links, and other trust signals visible to integrators.
Tool Capability Clarity
4/4
How clearly the tool surface communicates whether each action reads, writes, deletes, executes, or exports data.
Destructive Operation Safety
3/4
Penalizes delete/revoke/destroy style tools unless auth and safeguards reduce blast radius.
Egress / SSRF Resilience
1/4
Assesses arbitrary URL fetch, crawl, webhook, and remote-request exposure on the tool surface.
Execution / Sandbox Safety
4/4
Evaluates shell, code, script, and command-execution exposure and whether that surface appears contained.
Data Exfiltration Resilience
3/4
Assesses export, dump, backup, and bulk-read behavior against the surrounding auth and safeguard signals.
Least Privilege Scope
3/4
Rewards scoped auth metadata and penalizes broad or missing scopes around privileged tools.
Secret Handling Hygiene
3/4
Assesses secret-bearing tools, token leakage risk, and whether the public surface avoids obvious secret exposure.
Supply Chain Signal
1/4
Public metadata signal for repository, changelog, license, versioning, and recency that supports supply-chain trust.
Input Sanitization Safety
3/4
Penalizes risky freeform string inputs when schemas do not constrain URLs, code, paths, queries, or templates.
Tool Namespace Clarity
4/4
Measures naming uniqueness and ambiguity across the tool namespace to reduce collision and confusion risk.
Actionable remediation
SeverityRemediationWhy it mattersRecommended action
High Align session and protocol behavior with Streamable HTTP expectations Clients increasingly rely on MCP-Protocol-Version, session teardown, and expired-session semantics. Align MCP-Protocol-Version, MCP-Session-Id, DELETE teardown, and expired-session handling with the transport spec.
Playbook
  • Return `Mcp-Session-Id` and `Mcp-Protocol-Version` headers consistently on streamable HTTP responses.
  • Honor `DELETE` session teardown and return `404` when a deleted session is reused.
  • Reject invalid protocol-version headers with `400 Bad Request`.
High Expose /.well-known/oauth-protected-resource Without a protected-resource document, OAuth clients cannot discover auth requirements reliably. Serve /.well-known/oauth-protected-resource and point it at your authorization server metadata.
Playbook
  • Serve `/.well-known/oauth-protected-resource` from the same host as the MCP endpoint.
  • Point it at the authorization server metadata URL.
  • Confirm clients receive consistent auth hints before tool execution.
High Publish OAuth authorization-server metadata Clients need authorization-server metadata to discover issuer, endpoints, and DCR support. Publish /.well-known/oauth-authorization-server from your issuer and include registration_endpoint when supported.
Playbook
  • Publish `/.well-known/oauth-authorization-server` from the issuer.
  • Add `registration_endpoint` if DCR is supported.
  • Verify issuer, authorization, token, and jwks metadata are all reachable.
High Publish a complete server card Missing or incomplete server-card metadata weakens discovery, documentation, and trust signals. Serve /.well-known/mcp/server-card.json and include tools, prompts/resources, homepage, and support links.
Playbook
  • Publish `/.well-known/mcp/server-card.json`.
  • Include homepage, repository, support, tools, prompts/resources, and auth metadata.
  • Revalidate the server after publishing the card.
High Respond to auth mode changed Auth mode changed from unknown to public. Document the new auth posture and confirm protected-resource and challenge metadata still match reality.
High Respond to tool snapshot changed Tools were added, removed, or materially changed between the latest two validations. Publish a first-class changelog for tool additions, removals, and breaking schema changes.
Playbook
  • Review the tool snapshot diff for adds, removals, required-arg changes, and output-schema drift.
  • Publish a changelog before managed connector clients refresh their frozen tool snapshots.
  • Revalidate after the changelog and connector metadata are in sync.
Medium Adopt a current MCP protocol revision Older protocol revisions reduce compatibility with newer clients and registry programs. Advertise a current MCP protocol revision (2025-06-18 or later) in both the initialize response and the MCP-Protocol-Version header.
Playbook
  • Update the server's advertised protocol version to a current MCP revision (2025-06-18 or later).
  • Return the negotiated version consistently in both the `initialize` response and the `MCP-Protocol-Version` header.
  • Revalidate and confirm `protocol_version_probe` reports `ok`.
Medium Close connector-publishing gaps Connector catalogs care about protocol recency, session behavior, auth clarity, and tool-surface stability.
Medium Document minimal scopes and return cleaner auth challenges Modern clients expect granular scopes and step-up auth signals such as WWW-Authenticate scope hints. Return granular scopes and WWW-Authenticate challenge hints instead of forcing overly broad auth upfront.
Playbook
  • Advertise the narrowest viable scopes in OAuth metadata.
  • Return `WWW-Authenticate` challenges with scope or insufficient-scope hints when additional consent is needed.
  • Revalidate with both public discovery and auth-required flows.
Medium Publish OpenID configuration OIDC metadata improves token validation and client compatibility. Expose /.well-known/openid-configuration with issuer, jwks_uri, and supported grants.
Playbook
  • Serve `/.well-known/openid-configuration` with `issuer`, `jwks_uri`, `authorization_endpoint`, and `token_endpoint`.
  • List supported grant types in `grant_types_supported` and scopes in `scopes_supported`.
  • Revalidate and confirm the `openid_configuration` check returns `ok`.
Medium Support resumable HTTP sessions cleanly Modern MCP clients increasingly expect resumable session behavior on streamable HTTP transports. Persist session state keyed by Mcp-Session-Id and honor Last-Event-ID on GET reconnects so clients can resume a dropped Streamable HTTP session.
Playbook
  • Persist session state keyed by `Mcp-Session-Id` so a client can reconnect after a dropped connection.
  • Honor `Last-Event-ID` on GET reconnects to replay missed SSE events instead of erroring.
  • Revalidate and confirm `session_resume_probe` no longer returns `warning`.
Low Expose modern utility surfaces like completions, pagination, or tasks Utility coverage improves interoperability with larger clients and long-lived agent workflows. Expose completions, pagination, and task metadata where supported so larger clients can plan and resume work safely.
Playbook
  • Advertise `completions`, pagination cursors, and `tasks` only when they are actually supported.
  • Return `nextCursor` on large list operations when pagination is available.
  • Document task support and whether it requires step-up auth.
Point loss breakdown
ComponentCurrentPoints missing
Utility Coverage 0/4 -4.0
Step Up Auth 0/4 -4.0
Request Association 0/4 -4.0
OAUTH Interop 0/4 -4.0
Interactive Flow Safety 0/4 -4.0
Recovery Semantics 1/4 -3.0
Error Contract 1/4 -3.0
Egress SSRF Resilience 1/4 -3.0
Dependency Supply Chain Signal 1/4 -3.0
Advanced Capability Coverage 1/4 -3.0
Transport Compliance 2/4 -2.0
Spec Recency 2/4 -2.0
Compatibility profiles
OpenAI Connectors
66.7
partial
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; OAuth interoperability should be strong.
Connector URL: https://lumify.ai/mcp
# No OAuth metadata detected.
# Server: ai.lumify/sports-intelligence
Claude Desktop
100.0
compatible
No major blockers detected.
{
  "mcpServers": {
    "sports-intelligence": {
      "command": "npx",
      "args": ["mcp-remote", "https://lumify.ai/mcp"]
    }
  }
}
Smithery
80.0
compatible
Machine-readable failure semantics should be present.
smithery mcp add "https://lumify.ai/mcp"
Generic Streamable HTTP
100.0
compatible
No major blockers detected.
curl -sS https://lumify.ai/mcp -H 'content-type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"mcp-verify","version":"0.1.0"}}}'

Governance

MCP TrustOps

TrustOps turns this report into operational controls: freshness SLAs, authenticated validation, semantic benchmarks, policy exports, alert subscriptions, badges, cost/compliance metadata, and runtime routing. Fresh trusted index decisions stay separate from long-tail inventory so stale scores do not masquerade as current evidence.

Evidence age tier
Verified in last 24h
Policy SLA (contractual, distinct from the public 24h freshness window): 168.0h • confidence-weighted score (display score discounted for evidence age and confidence -- an internal TrustOps input, not the public score): 58.3 • evidence too old to display:
Policy exports
Formats: json, rego, yaml, github_action, gateway_config, client_report
Runtime routing
/v1/decide
Returns allowed tools, blocked tools, approval requirement, and reason.
Hosted runtime
Deploy trusted servers from GitHub with secrets, egress controls, releases, rollback, and audit events.
Authenticated validation
Premium publisher feature: paid authenticated runs verify scopes, write-action safeguards, and authorized tool execution.
Active trust badges
none
Semantic benchmarks
available
Templates cover GitHub, database, healthcare, web search, and CRM least-privilege jobs.
Supply chain
metadata signal
Deep scan checks are marked separately from public metadata signals.
Compliance metadata
Terms, privacy, SOC 2, HIPAA, GDPR, retention, deletion, and audit-log fields are tracked as enterprise metadata.
Alert subscription types
Status changes Score drops or recovers Freshness SLA breach Validation schema drift OAuth or auth behavior changes Tool surface changes New or changed write tool Supply-chain signal changes Legal or compliance metadata changes
MCP Runtime hosting

Verify Hosted MCP turns a trusted server report into a managed remote MCP endpoint with GitHub deployment provenance, sandbox policy, encrypted secrets, release history, rollback, and audit/usage events.

Activation readiness
Trusted hosted runtimes require fresh validation, a passing server state, a remote endpoint, and a minimum score.
Minimum tier
TrustOps
Publisher claim plus paid TrustOps tier are required before secrets or releases can be created.
Hosted endpoint
/hosted/{namespace}/{name}/mcp
The endpoint enforces egress allowlists and records audit/usage events.
Blockers
score_below_hosting_threshold blocked_by_active_alerts blocked_by_production_readiness
DeploymentStatusEndpointRelease
No hosted runtime deployments yet.
Authenticated validation sessions

Public validation is free. Authenticated validation is paid and proves scoped behavior, write-action safeguards, and authenticated tool execution.

Latest profile
remote_mcp
Authenticated session used
Public score isolation
Preview endpoint
/v1/verify
CI preview endpoint
/v1/ci/preview
Install snippets
Openai Connectors
Connector URL: https://lumify.ai/mcp
# No OAuth metadata detected.
# Server: ai.lumify/sports-intelligence
Claude Desktop
{
  "mcpServers": {
    "sports-intelligence": {
      "command": "npx",
      "args": ["mcp-remote", "https://lumify.ai/mcp"]
    }
  }
}
Smithery
smithery mcp add "https://lumify.ai/mcp"
Generic Http
curl -sS https://lumify.ai/mcp -H 'content-type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"mcp-verify","version":"0.1.0"}}}'
Agent access & tool surface
Live server tools
list_sports list_events get_event batch_get_events query_events get_live_score get_odds get_odds_history
Showing 8 of 18 tools.
Observed from the latest live validation against https://lumify.ai/mcp. This is the target server surface, not Verify's own inspection tools.
Live capability counts
18 tools • 3 prompts • 2 resources
Counts come from the latest tools/list, prompts/list, and resources/list checks.
Inspect with Verify
search fetch search_servers recommend_servers get_server_report compare_servers
Use Verify itself to search, recommend, compare, and fetch the full report for ai.lumify/sports-intelligence.
Direct machine links