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ai.geodesiclabs/governance-platform

ai.geodesiclabs/governance-platform

Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.

DECISION SUMMARY
Production trust decision

Not Assessed

Production readiness
Failing
Score
n/a
Percentile pending
Confidence
Not Assessed
Based on evidence completeness, recency, and validation density.
Evidence age
2.8h old
Freshness: fresh. Snapshot trustsnap_206d075030943065.
Top risk drivers
  • Utility Coverage
  • Tool Surface Design
  • Tool Snapshot Churn
Recommended actions
  • Make tools/list succeed unauthenticated when possible, or document the auth flow in the server card.
  • Fix the failing checks first, then revalidate to confirm the recovery path.
  • Align MCP-Protocol-Version, MCP-Session-Id, DELETE teardown, and expired-session handling with the transport spec.
Next action
revalidate so the tool surface can be inspected before a production decision is made
tool surface has not been observed by any completed validation run
Compare alternatives Export policy Open report JSON Dispute this assessment
Observed Attention
Low observed attention
AI discovery detected. This MCP server has recently appeared in AI-assisted discovery or evaluation traffic on Verify.
  • Search crawler activity
  • badge SVG inspection
Bucketed signal based on recent segmented Verify telemetry. Crawler and evaluator activity is not treated as confirmed human demand.
Claim this profile to control the metadata agents are reading and publish verified ownership, security contact, policy metadata, badge status, and Intelligence API fields.
Status
Failing
Score
n/a
Transport
streamable-http
Tools
0
DISPUTE THIS ASSESSMENT

Dispute this assessment

If any published claim about this server -- its score, a risk flag, a capability classification, or its taxonomy -- is factually wrong, tell us what evidence shows and we will review it. This does not require claiming or verifying ownership of the server first.

Verify responds to disputes within 5 business days and resolves them within 15.

Dispute history

No disputes filed for this server.

Risks

Security posture
Tools analyzed
0
High-risk tools
0
Destructive tools
0
Exec tools
0
Egress tools
0
Secret tools
0
Bulk-access tools
0
Risk distribution
none
Tool capability & risk inventory

No tool inventory available from the latest validation run.

Write-action governance
Governance status
Not_Assessed
Safe to publish
Auth boundary
public_or_unclear
Blast radius
Low
High-risk tools
0
Confirmation signals
none
Safeguard count
0

Status detail: No write-action governance evidence is available yet.

ToolRiskFlagsSafeguards
High-risk tool assessment unavailable -- no tools were analyzed.
Recommended runtime policy
Recommended runtime policy
Not assessed
Default policy stance (medium risk ceiling, write actions require approval, no OAuth requirement). Answers "what may an agent do right now" -- a separate question from production readiness, which answers "how suitable is this server for adoption." Customize via policy export.

No tool surface has been observed yet -- this is not the same as a clean bill of health. Revalidate before treating this server as policy-cleared.

Action-controls diff

Need at least two validation runs before diffing action controls.

Critical alerts
High/critical-severity alerts
0
Production verdicts degrade quickly when high or critical-severity alerts are active.

Compatibility

Client readiness 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
Not client-compatible
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.; Step-up auth signals should be documented and connector-friendly.; OAuth interoperability should be strong.; The tool surface is not limited to search/fetch-style read tools.
Confidence: not_assessed (n/a)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listError
  • transport_compliance_probeWarning
  • step_up_auth_probeMissing
  • connector_replay_probeMissing — Frozen tool snapshots must survive refresh.
  • request_association_probeMissing — Roots, sampling, and elicitation should stay request-scoped.
Client compatibility: Claude
Not client-compatible
tools/list must succeed.; A useful Claude integration needs at least one exposed tool.; The tool surface is not limited to search/fetch-style read tools.; OAuth is not configured, so this client cannot authenticate without additional setup.; Not yet safe for company-knowledge use: requires a search/fetch-only surface with no export, bulk, mutating, or high-blast-radius exposure.; Not yet safe for the Messages API remote MCP path: requires OAuth, a compatible connector profile, and no pending connector-refresh risk.
Confidence: not_assessed (n/a)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listError
  • transport_compliance_probeWarning
Write-action publishing
Publishing blocked
action_safety_probe has not run yet -- no tool surface was observed, so write-action safety could not be assessed. Active alert(s) affecting production readiness: Latest validation is failing.
Confidence: not_assessed (n/a)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history
Disagreements: none
  • action_safety_probeNot_Assessed
Snapshot churn risk
Not Assessed
No prior validation is available to compare against yet -- churn risk has not been assessed.
Confidence: not_assessed (n/a)
Evidence provenance
Winner: history
Supporting sources: history, live_validation
Disagreements: none
  • tool_snapshot_probeMissing
  • connector_replay_probeMissing
Client readiness gate details
ChatGPT custom connector
Not client-compatible
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.; Step-up auth signals should be documented and connector-friendly.; OAuth interoperability should be strong.; The tool surface is not limited to search/fetch-style read tools.
Remediation checklist
  • Add OAuth-based authentication for remote connector auth.
  • Support dynamic client registration (DCR) to simplify connector setup.
  • Fix the server so tools/list returns successfully.
  • Document step-up auth requirements in a connector-friendly way.
  • Improve OAuth interoperability -- see the OAuth Interop score breakdown.
  • Limit the exposed surface to search/fetch-style read tools.
Claude remote MCP
Not client-compatible
tools/list must succeed.; A useful Claude integration needs at least one exposed tool.; The tool surface is not limited to search/fetch-style read tools.; OAuth is not configured, so this client cannot authenticate without additional setup.; Not yet safe for company-knowledge use: requires a search/fetch-only surface with no export, bulk, mutating, or high-blast-radius exposure.; Not yet safe for the Messages API remote MCP path: requires OAuth, a compatible connector profile, and no pending connector-refresh risk.
Remediation checklist
  • Fix the server so tools/list returns successfully.
  • Expose at least one tool.
  • Limit the exposed surface to search/fetch-style read tools.
  • Configure OAuth for authenticated remote MCP access.
  • Remove export, bulk, mutating, and high-blast-radius exposure before certifying company-knowledge use.
  • Satisfy OAuth, compatibility, and connector-refresh requirements before using the Messages API remote MCP path.
Write-safe publishing
Blocked
Production readiness is blocked by an active alert: Latest validation is failing.
Remediation checklist
  • Resolve the active alert: Latest validation is failing.
Verdict traces
Production verdict
Failing
The latest validation run was attempted but did not complete successfully.
Confidence: not_assessed (n/a)
Winning source: live_validation
Triggering alerts
  • server_failing • critical • Latest validation is failing
Client verdict trace table
VerdictStatusChecksWinning sourceConflicts
openai_connectors Not client-compatible initialize, tools_list, transport_compliance_probe, step_up_auth_probe, connector_replay_probe, request_association_probe live_validation none
claude_desktop Not 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 Not Assessed tool_snapshot_probe, connector_replay_probe history none
Publishability policy profiles
ChatGPT custom connector publishability policy
Policy blocked
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.; Step-up auth signals should be documented and connector-friendly.; OAuth interoperability should be strong.; The tool surface is not limited to search/fetch-style read tools. Technical compatibility is evaluated separately from this publishability policy.
  • Search Fetch Only: No
  • Write Actions Present: No
  • Oauth Configured: No
  • Admin Refresh Required: No
  • Safe For Company Knowledge: No
  • Safe For Messages Api Remote Mcp: No
Claude remote MCP publishability policy
Policy blocked
tools/list must succeed.; A useful Claude integration needs at least one exposed tool.; The tool surface is not limited to search/fetch-style read tools.; OAuth is not configured, so this client cannot authenticate without additional setup.; Not yet safe for company-knowledge use: requires a search/fetch-only surface with no export, bulk, mutating, or high-blast-radius exposure.; Not yet safe for the Messages API remote MCP path: requires OAuth, a compatible connector profile, and no pending connector-refresh risk. Technical compatibility is evaluated separately from this publishability policy.
  • Search Fetch Only: No
  • Write Actions Present: No
  • Oauth Configured: No
  • Admin Refresh Required: No
  • Safe For Company Knowledge: No
  • 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.; tools/list must succeed.; Step-up auth signals should be documented and connector-friendly.; OAuth interoperability should be strong.
  • remote_http_endpoint: Passes
  • oauth_discovery: Degraded
  • frozen_tool_snapshot_refresh: Not Assessed
  • request_association: Not Assessed
Anthropic remote MCP fixture
Degraded
tools/list must succeed.; A useful Claude integration needs at least one exposed tool.
  • remote_transport: Passes
  • tool_discovery: Likely to fail
  • auth_connect: Passes
  • safe_write_review: Degraded
Recommended for
Metadata-first exploration only
Evidence confidence is still low, so verify the server manually before depending on it.

Evidence

Current trust snapshot
Snapshot ID
trustsnap_206d075030943065
Use this ID to compare server page, report, policy, MCP, homepage, ranking, and shortlist surfaces.
Trust evaluated
Aug 17, 2026 04:04:46 AM UTC
Evidence revision: dda4853f0a17e4f1de59290b • materialization: complete
Last validated
Aug 17, 2026 01:18:16 AM UTC
Age: 2.77h • evidence age tier: Verified in last 24h • display score: suppressed

Canonical machine links

Evidence confidence
Confidence score
n/a
No evidence-bearing validation runs exist yet (6 captured checks, validation age 2.8 hours). Confidence cannot be computed.
Live checks captured
6
More direct checks increase trust in the current verdict.
Validation age
2.8h
Lower age means fresher evidence.
Latest validation evidence
Latest summary
Failing
Validation profile
remote_mcp
Started
Aug 17, 2026 01:18:14 AM UTC
Latency
2056.2 ms

Failures

  • oauth_authorization_server no authorization server
  • oauth_protected_resource Client error '404 Not Found' for url 'https://app.geodesiclabs.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://app.geodesiclabs.ai/.well-known/mcp/server-card.json' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
  • tools_list Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400

Checks

CheckStatusLatencyEvidence
action_safety_probe Not_Assessed n/a No write-action risk evidence recorded.
advanced_capabilities_probe Missing n/a No advanced MCP capability signals detected.
connector_publishability_probe Error n/a Publishability blockers: tools list, protocol version, step up auth, transport compliance, +5 more.
connector_replay_probe Missing n/a No connector replay evidence recorded.
determinism_probe Missing n/a tools list unavailable
initialize OK 173.7 ms Protocol 2025-03-26
instruction_tool_reference_probe Not_Assessed n/a initialize or tools unavailable
interactive_flow_probe Missing n/a Check completed
oauth_authorization_server Missing n/a no authorization server
oauth_protected_resource Error 171.7 ms Client error '404 Not Found' for url 'https://app.geodesiclabs.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 250.9 ms Fetched https://app.geodesiclabs.ai/robots.txt
prompt_get Missing n/a not advertised
prompts_list Missing 181.0 ms Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
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 Missing n/a not advertised
resources_list Missing 191.0 ms Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
schema_divergence_probe Missing n/a no server card tools
server_card Error 134.3 ms Client error '404 Not Found' for url 'https://app.geodesiclabs.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 OK 262.1 ms 37 tool(s) exposed
step_up_auth_probe Missing n/a No OAuth or incremental-scope signals detected.
tool_snapshot_probe Missing n/a no tools
tools_list Error 189.7 ms Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400
transport_compliance_probe Warning 158.2 ms Issues: missing protocol header (bad protocol=400, DELETE=200, expired session=404).
utility_coverage_probe Missing 80.4 ms No completions evidence; no pagination evidence; tasks missing.
Known versions
  • 1.2.0
Public server reputation
Validation success 7d
n/a
Validation success 30d
n/a
Mean time to recover
n/a
Breaking diffs 30d
0
Registry drift frequency 30d
0
Snapshot changes 30d
0
Benchmark tasks
Benchmark taskStatusEvidence
Discover tools Likely to fail
  • initializeOK
  • tools_listError
Read-only fetch flow Likely to fail
  • resource_readMissing
  • read_only_tool_surfaceMissing
OAuth-required connect Degraded
  • oauth_protected_resourceError
  • step_up_auth_probeMissing
Safe write flow with confirmation Likely to fail
  • action_safety_probeNot_Assessed
Utility coverage
Probe status
Missing
Completions
not detected
Completion probe target: none
Pagination
not detected
No nextCursor evidence.
Tasks
Missing
Advertised: no
Tool snapshot diff & changelog

Need at least two validation runs before building a tool changelog.

Validation diff

Need at least two validation runs before diffing changes.

Registry & provenance divergence
Probe status
Not_Assessed
Assessment
Not assessed
probe_not_assessed
Cross-registry alias disagreements
none
Active alerts
  • Latest validation is failing (critical)
    Core MCP flows did not validate successfully on the latest run.
Aliases & registry graph
IdentifierSourceCanonicalIdentity evidenceScore
ai.geodesiclabs/governance-platform official_registry yes canonical n/a
Alias consolidation

Strong alias identity requires matching remote URL, server-card URL, repository slug, or explicit registry cross-reference; shared provider namespace alone is not identity.

Canonical identifier
ai.geodesiclabs/governance-platform
Duplicate aliases
0
Registry sources
official_registry
Directory listings
none
Homepages
none
Source disagreements
FieldWhat differsObserved values
No source disagreements detected.

Fix it

Why this score?
Access & Protocol
17/44
Connectivity, auth, and transport expectations for common clients.
Interface Quality
2/56
How well the tool/resource interface communicates and behaves under automation.
Security Posture
0/36
How safely the exposed tool surface handles destructive actions, egress, execution, secrets, and risky inputs.
Reliability & Trust
6/24
Operational stability, consistency, and trustworthiness over time.
Discovery & Governance
13/28
How well the server is documented, listed, and governed in public registries.
Adoption & Market
2/8
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
0/4
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
0/4
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
0/4
Availability, latency, and burst-failure profile across recent validation history.
Security Hygiene
0/4
HTTPS posture, endpoint hygiene, and response-surface hardening checks.
Task Success
0/4
Can an agent reliably initialize, enumerate tools, and execute core MCP flows?
Trust Confidence
1/4
Confidence-adjusted reliability score that penalizes low evidence volume.
Prompt Contract
0/4
Quality of prompt metadata, argument shape, and prompt discoverability for clients.
Resource Contract
0/4
How completely resources and resource templates describe URIs, types, and usage shape.
Discovery Metadata
1/4
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
1/4
How cleanly a real client can connect, initialize, enumerate tools, and proceed through auth.
Session Semantics
1/4
Determinism and state behavior across repeated MCP calls, including sticky-session surprises.
Tool Surface Design
0/4
Naming clarity, schema ergonomics, and parameter complexity across the tool surface.
Result Shape Stability
0/4
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
0/4
Whether failures include actionable machine-readable next steps such as retry or upgrade guidance.
Maintenance Signal
3/4
Versioning, update recency, and historical validation cadence that indicate active stewardship.
Adoption Signal
2/4
Directory presence and distribution clues that suggest the server is intended for external use.
Freshness Confidence
1/4
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
4/4
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
3/4
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
0/4
Coverage of newer MCP surfaces like roots, sampling, elicitation, structured output, and related metadata.
Connector Publishability
0/4
How ready the server looks for client catalogs and managed connector programs.
Tool Snapshot Churn
0/4
Stability of the tool surface across recent validations, including add/remove and output-shape drift.
Connector Replay
0/4
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.
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
0/4
How clearly the tool surface communicates whether each action reads, writes, deletes, executes, or exports data.
Data Exfiltration Resilience
0/4
Assesses export, dump, backup, and bulk-read behavior against the surrounding auth and safeguard signals.
Supply Chain Signal
1/4
Public metadata signal for repository, changelog, license, versioning, and recency that supports supply-chain trust.
Input Sanitization Safety
0/4
Penalizes risky freeform string inputs when schemas do not constrain URLs, code, paths, queries, or templates.
Tool Namespace Clarity
0/4
Measures naming uniqueness and ambiguity across the tool namespace to reduce collision and confusion risk.

8 component(s) not assessed for this run: Abuse/Noise Resilience, Action Safety, Provenance Divergence, Destructive Operation Safety, Egress / SSRF Resilience, Execution / Sandbox Safety, Least Privilege Scope, Secret Handling Hygiene

Experimental candidate components
Personal Data Exposure
1.5
Experimental candidate, weight 0. Export and bulk-access evidence only; no impact on totals, verdicts, rankings, or gates.
Actionable remediation
SeverityRemediationWhy it mattersRecommended action
Critical Ensure tools/list succeeds consistently Tools discovery is the minimum viable contract for most MCP clients and directories. Make tools/list succeed unauthenticated when possible, or document the auth flow in the server card.
Playbook
  • Make `tools/list` deterministic across repeated calls.
  • Document or relax auth requirements for discovery routes.
  • Check that tool names, descriptions, and schemas remain stable across deploys.
Critical Respond to latest validation is failing Core MCP flows did not validate successfully on the latest run. Fix the failing checks first, then revalidate to confirm the recovery path.
Playbook
  • Fix the failing checks first.
  • Review the latest incident feed and validation diff for the first regression.
  • Revalidate once the remediation lands.
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.
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. Resolve every blocker named by connector_publishability_probe, then rerun it before submitting or refreshing a connector listing.
Playbook
  • Review the blockers and failed criteria recorded by connector_publishability_probe.
  • Correct the identified transport, authentication, server-card, or tool-stability gaps.
  • Revalidate and require the probe to report no blockers before publishing the connector.
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 Raise Adoption & Market score Adoption clues and public evidence that the server is intended for external use. Increase external documentation and directory coverage so users can discover and evaluate the server.
Medium Raise Interface Quality score How well the tool/resource interface communicates and behaves under automation. Improve schemas, error contracts, and recovery messages so agents can reason about the surface automatically.
Medium Raise Reliability & Trust score Operational stability, consistency, and trustworthiness over time. Stabilize behavior over time and reduce failure drift between validation runs.
Medium Raise Security Posture score How safely the exposed tool surface handles destructive actions, egress, execution, secrets, and risky inputs. Reduce destructive, egress, exec, secret, and freeform-input risk across the exposed tool surface.
Playbook
  • Classify each tool by read/write/delete/exec/network capability and confirm the classification is intentional.
  • Gate high-risk tools behind scoped auth, narrow their schemas, and document safeguards such as allowlists or dry-run paths.
  • Revalidate after the risky tools are tightened so the security posture score reflects the current surface.
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.
Low Publish newer MCP capability signals Roots, sampling, elicitation, structured outputs, and related metadata improve client understanding and ranking. Advertise only the advanced capabilities (roots, sampling, elicitation) you have actually implemented end to end in the initialize capabilities object.
Playbook
  • Add the capabilities you actually support (`roots`, `sampling`, `elicitation`) to the `capabilities` object returned from `initialize`.
  • Only advertise a capability once the corresponding request/response flow is implemented end to end.
  • Revalidate and confirm `advanced_capabilities_probe` reflects the updated capability set.
Point loss breakdown
ComponentCurrentPoints missing
Utility Coverage 0/4 -4.0
Tool Surface Design 0/4 -4.0
Tool Snapshot Churn 0/4 -4.0
Tool Namespace Clarity 0/4 -4.0
Tool Capability Clarity 0/4 -4.0
Task Success 0/4 -4.0
Step-Up Auth 0/4 -4.0
SLO Health 0/4 -4.0
Security Hygiene 0/4 -4.0
Schema Completeness 0/4 -4.0
Result Shape Stability 0/4 -4.0
Resource Contract 0/4 -4.0
Technical compatibility profiles

These scores measure technical client compatibility only. Client publishability and production readiness are evaluated separately against policy, transport, and write-surface blockers.

OpenAI Connectors
44.4
Technically incompatible (4 of 9 requirements met)
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.; tools/list must succeed.; Step-up auth signals should be documented and connector-friendly.; OAuth interoperability should be strong.
Connector URL: https://app.geodesiclabs.ai/mcp
# No OAuth metadata detected.
# Server: ai.geodesiclabs/governance-platform
Claude Desktop
66.7
Technical review required (4 of 6 requirements met)
tools/list must succeed.; A useful Claude integration needs at least one exposed tool.
{
  "mcpServers": {
    "governance-platform": {
      "command": "npx",
      "args": ["mcp-remote", "https://app.geodesiclabs.ai/mcp"]
    }
  }
}
Smithery
40.0
Technically incompatible (2 of 5 requirements met)
Tool discovery must succeed.; Metadata quality should be serviceable.; Machine-readable failure semantics should be present.
smithery mcp add "https://app.geodesiclabs.ai/mcp"
Generic Streamable HTTP
66.7
Technical review required (4 of 6 requirements met)
tools/list must succeed.; Session behavior should be predictable.
curl -sS https://app.geodesiclabs.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: validation targets and 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 evidence-age limit (a runtime constraint, distinct from the public 24h freshness window and from a plan's validation target/SLA): 168.0h • confidence-weighted score (display score discounted for evidence age and confidence -- an internal TrustOps input, not the public score): n/a • score suppressed after the 30-day display limit:
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 Evidence-age policy 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 server_not_healthy_or_degraded latest_validation_not_passing 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://app.geodesiclabs.ai/mcp
# No OAuth metadata detected.
# Server: ai.geodesiclabs/governance-platform
Claude Desktop
{
  "mcpServers": {
    "governance-platform": {
      "command": "npx",
      "args": ["mcp-remote", "https://app.geodesiclabs.ai/mcp"]
    }
  }
}
Smithery
smithery mcp add "https://app.geodesiclabs.ai/mcp"
Generic Http
curl -sS https://app.geodesiclabs.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
No live tool surface captured yet.
Observed from the latest live validation against https://app.geodesiclabs.ai/mcp. This is the target server surface, not Verify's own inspection tools.
Live capability counts
0 tools • 0 prompts • 0 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.geodesiclabs/governance-platform.
Direct machine links

History

Validation history
7 day score delta
n/a
30 day score delta
n/a
Recent healthy ratio
n/a
Freshness
2.8h
TimestampStatusScoreLatencyTools
Aug 17, 2026 01:18:16 AM UTC Failing n/a 2056.2 ms 0
Aug 16, 2026 01:17:40 PM UTC Failing n/a 2036.2 ms 0
Aug 16, 2026 01:17:15 AM UTC Failing n/a 1866.6 ms 0
Aug 15, 2026 01:15:43 PM UTC Failing n/a 2044.7 ms 0
Aug 15, 2026 01:15:30 AM UTC Failing n/a 1966.6 ms 0
Aug 14, 2026 01:13:56 PM UTC Failing n/a 1919.2 ms 0
Aug 14, 2026 01:08:00 AM UTC Failing n/a 1918.2 ms 0
Aug 13, 2026 04:54:45 PM UTC Failing n/a 1993.5 ms 0
Aug 13, 2026 04:52:54 AM UTC Failing n/a 2014.7 ms 0
Aug 12, 2026 04:52:16 PM UTC Failing n/a 1937.2 ms 0
Validation timeline
ValidatedSummaryScoreProtocolAuth modeToolsHigh-risk toolsChanges
Aug 17, 2026 01:18:16 AM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 16, 2026 01:17:40 PM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 16, 2026 01:17:15 AM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 15, 2026 01:15:43 PM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 15, 2026 01:15:30 AM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 14, 2026 01:13:56 PM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 14, 2026 01:08:00 AM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 13, 2026 04:54:45 PM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 13, 2026 04:52:54 AM UTC Failing n/a 2025-03-26 public 0 0 none
Aug 12, 2026 04:52:16 PM UTC Failing n/a 2025-03-26 public 0 0 none
Recent validation runs
Recent validation runs for this MCP server
StartedStatusSummaryLatencyChecks
Aug 17, 2026 01:18:14 AM UTC Completed Failing 2056.2 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 16, 2026 01:17:38 PM UTC Completed Failing 2036.2 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 16, 2026 01:17:13 AM UTC Completed Failing 1866.6 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 15, 2026 01:15:41 PM UTC Completed Failing 2044.7 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 15, 2026 01:15:28 AM UTC Completed Failing 1966.6 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 14, 2026 01:13:55 PM UTC Completed Failing 1919.2 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 14, 2026 01:07:58 AM UTC Completed Failing 1918.2 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, instruction_tool_reference_probe, 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 (not counted in confidence)
Aug 13, 2026 04:54:43 PM UTC Completed Failing 1993.5 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 (not counted in confidence)
Aug 13, 2026 04:52:52 AM UTC Completed Failing 2014.7 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 (not counted in confidence)
Aug 12, 2026 04:52:14 PM UTC Completed Failing 1937.2 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 (not counted in confidence)
Incident & change feed
TimestampEventDetails
Aug 17, 2026 01:18:16 AM UTC Latest validation: failing Score n/a with status failing.
Aug 05, 2026 11:00:39 AM UTC Score corrected (post-1.0.503 remediation, R1 zero-anchoring) Prior: 21.81. Corrected: 13.89.

Technical details

Raw evidence view
Show raw JSON evidence
{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": false,
        "confirmation_signals": [],
        "reason": "empty_observation_set",
        "safeguard_count": 0,
        "summary": {
          "annotation_conflict_tools": 0,
          "bulk_access_tools": 0,
          "capability_distribution": {},
          "declared_non_read_only_tools": 0,
          "destructive_tools": 0,
          "egress_tools": 0,
          "exec_tools": 0,
          "has_mutating_capability": false,
          "has_non_read_capability": false,
          "high_risk_tools": 0,
          "risk_distribution": {
            "critical": 0,
            "high": 0,
            "low": 0,
            "medium": 0
          },
          "secret_tools": 0,
          "tool_count": 0
        }
      },
      "latency_ms": null,
      "status": "not_assessed"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": false,
          "elicitation": false,
          "prompts": false,
          "resource_links": false,
          "resources": false,
          "roots": false,
          "sampling": false,
          "structured_outputs": false
        },
        "enabled": [],
        "enabled_count": 0,
        "initialize_capability_keys": [
          "experimental",
          "prompts",
          "resources",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "missing"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "tools_list",
          "protocol_version",
          "step_up_auth",
          "transport_compliance",
          "connector_replay",
          "request_association",
          "action_safety",
          "server_card",
          "tool_surface"
        ],
        "criteria": {
          "action_safety": false,
          "auth_flow": true,
          "connector_replay": false,
          "initialize": true,
          "protocol_version": false,
          "remote_transport": true,
          "request_association": false,
          "server_card": false,
          "session_resume": true,
          "step_up_auth": false,
          "tool_surface": false,
          "tools_list": false,
          "transport_compliance": false
        },
        "high_risk_tools": 0,
        "tool_count": 0,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "error"
    },
    "connector_replay_probe": {
      "details": {
        "reason": "no_tools"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "determinism_probe": {
      "details": {
        "reason": "tools_list_unavailable"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "text/event-stream",
          "mcp-session-id": "e1f6ebb85cee4607aef8ad8c3e1ffec5",
          "strict-transport-security": "max-age=15552000"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "experimental": {},
              "prompts": {
                "listChanged": false
              },
              "resources": {
                "listChanged": false,
                "subscribe": false
              },
              "tools": {
                "listChanged": false
              }
            },
            "instructions": "GeodesicAI is pre-execution governance for AI agents. Other tools do something; GeodesicAI decides whether it should happen \u2014 with deterministic, replayable verdicts, never a guess.\n\nGOVERNANCE (the core) \u2014 Validate agent outputs and authorize actions against Blueprint rules BEFORE they execute. Catches math errors, field inconsistencies, policy-limit breaches, and constraint violations. Every check returns PASS, FAIL, or REVIEW with plain-language reasons, repair suggestions, a tamper-evident determinism hash, and a proof certificate you can re-verify independently. Same input, same rules, same verdict \u2014 every time. Use authorize_execution for a go/no-go before real-world actions (payments, emails, filings, API writes); use validate for document and output checking. Requires a Blueprint (your governance contract): load_rule_pack for ready-made templates, create_blueprint for custom rules.\n\nDISCOVERY \u2014 Learn candidate rules and spot unusual records from batches of your own data, deterministically. Detect records that break no rules but don't fit the established pattern; track drift in a data stream over time. No Blueprint required. Discovered rules can be promoted into Blueprints.\n\nPROOF \u2014 verify_certificate re-computes every attested rule from the record's own numbers; verify_replay proves two executions are byte-identical. Trust nothing, recheck everything.\n\nNo machine learning. No probabilistic inference in the validation pipeline. Every verdict is reproducible and fully traceable.\n\nDOCUMENTATION \u2014 For the full user guide covering all tools, Blueprint design, Trajectory mode, and demo walkthroughs, read the 'user_guide' resource (geodesicai://docs/user-guide), or fetch https://app.geodesiclabs.ai/static/GeodesicAI_User_Guide.pdf. For Blueprint design specifics, invoke the 'blueprint_guide' prompt. To turn a validation result into plain English using your own LLM, invoke the 'explain_result' prompt.\n\nSign up at geodesiclabs.ai for an API key.",
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "GeodesicAI",
              "version": "1.27.0"
            }
          }
        },
        "url": "https://app.geodesiclabs.ai/mcp"
      },
      "latency_ms": 173.67,
      "status": "ok"
    },
    "instruction_tool_reference_probe": {
      "details": {
        "reason": "initialize_or_tools_unavailable"
      },
      "latency_ms": null,
      "status": "not_assessed"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": false,
        "prompt_available": false,
        "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://app.geodesiclabs.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://app.geodesiclabs.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 171.66,
      "status": "error"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.geodesiclabs/governance-platform",
        "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": {
        "consent_error": null,
        "headers": {
          "content-type": "text/plain; charset=utf-8"
        },
        "http_status": 200,
        "url": "https://app.geodesiclabs.ai/robots.txt",
        "validation_disallowed": false
      },
      "latency_ms": 250.93,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "prompts_list": {
      "details": {
        "error": "Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "4f56d76a77e64cd697aed64d3f878d4a",
          "strict-transport-security": "max-age=15552000"
        },
        "http_status": 400,
        "payload": {},
        "reason": "not_advertised",
        "url": "https://app.geodesiclabs.ai/mcp"
      },
      "latency_ms": 181.02,
      "status": "missing"
    },
    "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": 1,
        "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": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "resources_list": {
      "details": {
        "error": "Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "bf31c0c572c54756bfd987388c9f6f74",
          "strict-transport-security": "max-age=15552000"
        },
        "http_status": 400,
        "payload": {},
        "reason": "not_advertised",
        "url": "https://app.geodesiclabs.ai/mcp"
      },
      "latency_ms": 191.03,
      "status": "missing"
    },
    "schema_divergence_probe": {
      "details": {
        "auth_scheme_mismatch": false,
        "card_server_name": null,
        "card_server_version": null,
        "compared_dimensions": [
          "server_name",
          "server_version",
          "declared_vs_observed_auth",
          "tool_membership",
          "parameter_names",
          "required_parameters",
          "parameter_types",
          "output_schema_presence"
        ],
        "compared_tool_count": 0,
        "live_server_name": "GeodesicAI",
        "live_server_version": "1.27.0",
        "reason": "no_server_card_tools",
        "server_name_mismatch": false,
        "server_version_mismatch": false
      },
      "latency_ms": null,
      "status": "missing"
    },
    "server_card": {
      "details": {
        "error": "Client error '404 Not Found' for url 'https://app.geodesiclabs.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://app.geodesiclabs.ai/.well-known/mcp/server-card.json"
      },
      "latency_ms": 134.32,
      "status": "error"
    },
    "session_resume_probe": {
      "details": {
        "headers": {
          "content-type": "text/event-stream",
          "mcp-session-id": "e1f6ebb85cee4607aef8ad8c3e1ffec5",
          "strict-transport-security": "max-age=15552000"
        },
        "http_status": 200,
        "payload": {
          "id": 301,
          "jsonrpc": "2.0",
          "result": {
            "tools": [
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Validate structured data against a Blueprint's rules BEFORE the result\n    is used. Returns PASS, FAIL, or REVIEW with plain-language findings,\n    repair suggestions, a determinism hash, and a re-verifiable\n    certificate. Same input + same rules = same verdict, every time.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "validateArguments",
                  "type": "object"
                },
                "name": "validate"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Validate structured data against a Blueprint and, when it fails,\n    include repair suggestions (corrected values with the rule each fix is\n    based on) in the same call. Same verdicts as validate: PASS, FAIL, or\n    REVIEW, with reasons and proof.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "validate_repairArguments",
                  "type": "object"
                },
                "name": "validate_repair"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Create a Blueprint - the governance contract validation runs against.\n\n    A Blueprint defines what correct means for your data: fields, the math\n    that must hold between them, and acceptable ranges. Start from\n    load_rule_pack or discover_patterns if you have no rules yet; invoke\n    the blueprint_guide prompt for the full rule/constraint reference.\n    Returns the new Blueprint's API key.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "customer_name": {
                      "description": "Organization or project name (also used for storage folder naming)",
                      "title": "Customer Name",
                      "type": "string"
                    },
                    "derivation_rules": {
                      "default": null,
                      "description": "Math rules as objects. Types: add, subtract, multiply, divide, round, copy, sum (multi-operand), items_multiply, items_sum. Each needs 'type' plus its fields; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Derivation Rules",
                      "type": "array"
                    },
                    "derived_fields": {
                      "default": null,
                      "description": "Field names the platform computes from other fields, e.g. ['subtotal','total']",
                      "items": {},
                      "title": "Derived Fields",
                      "type": "array"
                    },
                    "enable_anomaly_detection": {
                      "default": false,
                      "description": "Flag records that break no rules but do not fit the reference pattern",
                      "title": "Enable Anomaly Detection",
                      "type": "boolean"
                    },
                    "enable_drift_tracking": {
                      "default": false,
                      "description": "Track pattern stability across batches",
                      "title": "Enable Drift Tracking",
                      "type": "boolean"
                    },
                    "extracted_fields": {
                      "default": null,
                      "description": "Field names the agent extracts from source data, e.g. ['vendor','qty','unit_cost']",
                      "items": {},
                      "title": "Extracted Fields",
                      "type": "array"
                    },
                    "formal_constraints": {
                      "default": null,
                      "description": "Constraint objects. Types incl. magnitude_anchor {field,min,max}, relative_anchor {field,reference_field,ratio_min,ratio_max}, max_action_threshold {field,threshold,on_violation}, required_fields {fields}, equals, range, in_set, regex_match, items_magnitude_anchor; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Formal Constraints",
                      "type": "array"
                    },
                    "mode": {
                      "default": "observe",
                      "description": "observe: platform checks the agent's work; enforce: platform computes derived fields itself",
                      "enum": [
                        "observe",
                        "enforce"
                      ],
                      "title": "Mode",
                      "type": "string"
                    },
                    "require_coherence": {
                      "default": true,
                      "description": "Check cross-field plausibility",
                      "title": "Require Coherence",
                      "type": "boolean"
                    },
                    "require_consistency": {
                      "default": true,
                      "description": "Check internal field consistency",
                      "title": "Require Consistency",
                      "type": "boolean"
                    },
                    "require_high_assurance": {
                      "default": false,
                      "description": "Strictest mode: every check must pass",
                      "title": "Require High Assurance",
                      "type": "boolean"
                    },
                    "require_math": {
                      "default": true,
                      "description": "Validate mathematical relationships",
                      "title": "Require Math",
                      "type": "boolean"
                    },
                    "require_provenance": {
                      "default": false,
                      "description": "Require extraction source locations for fields",
                      "title": "Require Provenance",
                      "type": "boolean"
                    },
                    "semantic_checks": {
                      "default": null,
                      "description": "Domain-specific semantic check objects",
                      "items": {},
                      "title": "Semantic Checks",
                      "type": "array"
                    },
                    "workflow_name": {
                      "description": "Unique Blueprint identifier; the value passed as 'blueprint' in validate",
                      "title": "Workflow Name",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "customer_name",
                    "workflow_name"
                  ],
                  "title": "create_blueprintArguments",
                  "type": "object"
                },
                "name": "create_blueprint"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "List the Blueprints on this account with field/rule/constraint counts\n    and mode. Use the returned workflow_name as 'blueprint' in validate.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "list_blueprintsArguments",
                  "type": "object"
                },
                "name": "list_blueprints"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "One-shot repair: return corrected values that would make failing data\n    valid under the Blueprint. Use repair_path to see the steps instead.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": null,
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "derivation_rules": {
                      "default": null,
                      "description": "Math rules as objects. Types: add, subtract, multiply, divide, round, copy, sum (multi-operand), items_multiply, items_sum. Each needs 'type' plus its fields; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Derivation Rules",
                      "type": "array"
                    },
                    "formal_constraints": {
                      "default": null,
                      "description": "Constraint objects. Types incl. magnitude_anchor {field,min,max}, relative_anchor {field,reference_field,ratio_min,ratio_max}, max_action_threshold {field,threshold,on_violation}, required_fields {fields}, equals, range, in_set, regex_match, items_magnitude_anchor; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Formal Constraints",
                      "type": "array"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "repairArguments",
                  "type": "object"
                },
                "name": "repair"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Static pre-deploy analysis of a Blueprint's rule set. Returns a health\n    verdict - healthy, acceptable, fragile, rigid, split, brittle_islands,\n    or unsatisfiable - with advice, including joint conflicts pairwise\n    checks miss.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "config": {
                      "additionalProperties": true,
                      "default": null,
                      "description": "Raw blueprint config with derivation_rules and formal_constraints (used when 'blueprint' is not given)",
                      "title": "Config",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "check_blueprint_healthArguments",
                  "type": "object"
                },
                "name": "check_blueprint_health"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Compare two payloads under the dual-hash design: content_hash is\n    invariant to field order and numeric formatting (5 vs '5.00');\n    semantic_hash additionally to field renaming. Verdicts:\n    identical_content, same_structure_and_values_renamed_vocabulary,\n    or semantically_different.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "payload_a": {
                      "additionalProperties": true,
                      "description": "First structured payload (arbitrary JSON object)",
                      "title": "Payload A",
                      "type": "object"
                    },
                    "payload_b": {
                      "additionalProperties": true,
                      "description": "Second structured payload to compare against payload_a",
                      "title": "Payload B",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "payload_a",
                    "payload_b"
                  ],
                  "title": "compare_semantic_equivalenceArguments",
                  "type": "object"
                },
                "name": "compare_semantic_equivalence"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Quality-govern an in-progress AI generation step BEFORE its output is\n    used (complements validate, which checks finished documents). Returns\n    an action - STOP, CONTINUE, REPAIR_REGION, REUSE_MOTIF, REVIEW,\n    ESCALATE - with a plain-language explanation. Durably recorded;\n    retrieve later with get_inference_trace.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "constraints": {
                      "additionalProperties": true,
                      "default": null,
                      "description": "Optional governance constraint config object",
                      "title": "Constraints",
                      "type": "object"
                    },
                    "inference_id": {
                      "description": "Caller-chosen ID grouping the steps of one generation",
                      "title": "Inference Id",
                      "type": "string"
                    },
                    "payload": {
                      "additionalProperties": true,
                      "description": "Task-type payload: generative_text {text,...}; retrieval {query,candidates}; generic {features}",
                      "title": "Payload",
                      "type": "object"
                    },
                    "source": {
                      "default": "mcp",
                      "description": "Free-form caller label recorded for audit",
                      "title": "Source",
                      "type": "string"
                    },
                    "step_index": {
                      "default": 0,
                      "description": "Step number within this generation (0-based)",
                      "title": "Step Index",
                      "type": "integer"
                    },
                    "task_type": {
                      "description": "Kind of generation step being governed",
                      "enum": [
                        "generative_text",
                        "retrieval",
                        "generic"
                      ],
                      "title": "Task Type",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "task_type",
                    "payload",
                    "inference_id"
                  ],
                  "title": "govern_inferenceArguments",
                  "type": "object"
                },
                "name": "govern_inference"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Retrieve the durable audit trail for a governed generation: every\n    recorded decision and its reasons.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "inference_id": {
                      "description": "Caller-chosen ID grouping the steps of one generation",
                      "title": "Inference Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "inference_id"
                  ],
                  "title": "get_inference_traceArguments",
                  "type": "object"
                },
                "name": "get_inference_trace"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Recent generation-governance decisions across all runs - what was\n    approved, held, and escalated.\n    ",
                "inputSchema": {
                  "properties": {
                    "action": {
                      "default": "",
                      "description": "Optional action filter (STOP, CONTINUE, REVIEW, ...)",
                      "title": "Action",
                      "type": "string"
                    },
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "limit": {
                      "default": 25,
                      "description": "Maximum rows to return",
                      "title": "Limit",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "recent_inference_decisionsArguments",
                  "type": "object"
                },
                "name": "recent_inference_decisions"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Independently re-verify a validation certificate. Integrity mode checks\n    the hash chain; full mode (certificate + original data) recomputes\n    every attested rule from scratch - trust nothing, recheck everything.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "certificate": {
                      "additionalProperties": true,
                      "description": "The certificate object from a prior validation response",
                      "title": "Certificate",
                      "type": "object"
                    },
                    "data": {
                      "additionalProperties": true,
                      "default": null,
                      "description": "Original payload for full re-verification; omit for integrity-only mode",
                      "title": "Data",
                      "type": "object"
                    },
                    "derivation_rules": {
                      "default": null,
                      "description": "Rule list for independent attestation recomputation (optional)",
                      "items": {},
                      "title": "Derivation Rules",
                      "type": "array"
                    }
                  },
                  "required": [
                    "api_key",
                    "certificate"
                  ],
                  "title": "verify_certificateArguments",
                  "type": "object"
                },
                "name": "verify_certificate"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Sweep the Blueprint's numeric constraint bounds and report verdict\n    stability: the stable band, the scales where the verdict first flips,\n    and advice. Use before deploying bound changes.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "config": {
                      "additionalProperties": true,
                      "default": null,
                      "description": "Raw blueprint config to profile (used when 'blueprint' is not given)",
                      "title": "Config",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "profile_blueprint_robustnessArguments",
                  "type": "object"
                },
                "name": "profile_blueprint_robustness"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Deterministic forward reasoning: from the current data state, generate\n    and rank the valid next states reachable under the Blueprint's rules.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "max_branches": {
                      "default": 5,
                      "description": "Branches per step, 1-10",
                      "title": "Max Branches",
                      "type": "integer"
                    },
                    "max_depth": {
                      "default": 3,
                      "description": "Search depth, 1-10",
                      "title": "Max Depth",
                      "type": "integer"
                    },
                    "rank_by": {
                      "default": "drift",
                      "description": "Ranking criterion for returned paths",
                      "enum": [
                        "drift",
                        "confidence",
                        "shortest",
                        "risk"
                      ],
                      "title": "Rank By",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "forecastArguments",
                  "type": "object"
                },
                "name": "forecast"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Learn candidate validation rules and structural document types from a\n    batch of your records, deterministically - no Blueprint required.\n    Promote results with approve_rule. Source data is not stored.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "documents": {
                      "description": "List of structured records (objects) to analyze",
                      "items": {},
                      "title": "Documents",
                      "type": "array"
                    }
                  },
                  "required": [
                    "api_key",
                    "documents"
                  ],
                  "title": "discover_patternsArguments",
                  "type": "object"
                },
                "name": "discover_patterns"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Find the shortest sequence of field changes taking invalid data to a\n    valid state, as an ordered path of intermediate states. Different from\n    repair (one-shot nearest fix): use repair_path to explain or audit the\n    fix, or compare alternative repairs.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "max_depth": {
                      "default": 4,
                      "description": "Search depth, 1-10",
                      "title": "Max Depth",
                      "type": "integer"
                    },
                    "rank_by": {
                      "default": "shortest",
                      "description": "Ranking criterion for returned paths",
                      "enum": [
                        "shortest",
                        "drift",
                        "confidence",
                        "risk"
                      ],
                      "title": "Rank By",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "repair_pathArguments",
                  "type": "object"
                },
                "name": "repair_path"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Run the same data under two rule sets and compare which future states\n    remain valid - what-if analysis for rule changes.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "constraints_b": {
                      "default": null,
                      "description": "Alternative constraints (rule set B)",
                      "items": {},
                      "title": "Constraints B",
                      "type": "array"
                    },
                    "rules_b": {
                      "default": null,
                      "description": "Alternative derivation rules (rule set B)",
                      "items": {},
                      "title": "Rules B",
                      "type": "array"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "counterfactualArguments",
                  "type": "object"
                },
                "name": "counterfactual"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Explain whether a record fits the usual pattern for records like it,\n    and which fields stand out. No Blueprint required.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "analyze_anomalyArguments",
                  "type": "object"
                },
                "name": "analyze_anomaly"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Create a multi-agent sequential chain: stages validate in order against\n    one Blueprint, repairs propagate forward, TTL bounds the run. Siblings:\n    submit_chain_stage advances the chain; handoff_audit verifies a\n    transition between stages. Returns chain_id.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "description": "Blueprint governing all stages of the chain",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "stages": {
                      "description": "Stage definitions, e.g. [{'stage_name':'extract','agent_name':'PDF Agent'}]; minimum 2",
                      "items": {},
                      "title": "Stages",
                      "type": "array"
                    },
                    "ttl": {
                      "default": 3600,
                      "description": "Chain timeout in seconds; stages cannot advance after expiry",
                      "title": "Ttl",
                      "type": "integer"
                    }
                  },
                  "required": [
                    "api_key",
                    "blueprint",
                    "stages"
                  ],
                  "title": "create_chainArguments",
                  "type": "object"
                },
                "name": "create_chain"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Submit data for the chain's current stage; the platform validates it\n    and advances the chain if it passes. Response includes next-stage info\n    and accumulated repairs.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "chain_id": {
                      "description": "Chain identifier returned by create_chain",
                      "title": "Chain Id",
                      "type": "string"
                    },
                    "stage": {
                      "description": "Stage name to submit for (must be the chain's current stage)",
                      "title": "Stage",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "chain_id",
                    "stage",
                    "structured_data"
                  ],
                  "title": "submit_chain_stageArguments",
                  "type": "object"
                },
                "name": "submit_chain_stage"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Audit a handoff between two chain stages: a context capsule of verified\n    facts from the prior stage, and (if proposed_data is given) a\n    compatibility verdict that catches fields mutated in transit. Siblings:\n    create_chain, submit_chain_stage.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "chain_id": {
                      "description": "Chain identifier returned by create_chain",
                      "title": "Chain Id",
                      "type": "string"
                    },
                    "from_stage": {
                      "description": "Completed stage name (agent A)",
                      "title": "From Stage",
                      "type": "string"
                    },
                    "proposed_data": {
                      "additionalProperties": true,
                      "default": null,
                      "description": "Data agent B intends to submit; checked for mutation against agent A's verified fields",
                      "title": "Proposed Data",
                      "type": "object"
                    },
                    "to_stage": {
                      "description": "Stage about to start (agent B)",
                      "title": "To Stage",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "chain_id",
                    "from_stage",
                    "to_stage"
                  ],
                  "title": "handoff_auditArguments",
                  "type": "object"
                },
                "name": "handoff_audit"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Promote a rule discovered by discover_patterns into Blueprint-ready\n    form.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "rule_id": {
                      "description": "Discovered rule ID from discover_patterns",
                      "title": "Rule Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "rule_id"
                  ],
                  "title": "approve_ruleArguments",
                  "type": "object"
                },
                "name": "approve_rule"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Reject a discovered candidate rule so it will not be promoted into a\n    Blueprint. Pair with approve_rule after discover_patterns.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "rule_id": {
                      "description": "Discovered rule ID from discover_patterns",
                      "title": "Rule Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "rule_id"
                  ],
                  "title": "reject_ruleArguments",
                  "type": "object"
                },
                "name": "reject_rule"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Retrieve the document categories a discover_patterns session identified\n    (counts, distinguishing fields, domain hints). Read-only; returns\n    status=no_session if discovery has not run for this namespace.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "structural_typesArguments",
                  "type": "object"
                },
                "name": "structural_types"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Split the error between original and corrected values into direct rule\n    violations, boundary violations, and systemic structural error, with\n    per-field contributions. Use with a known-correct version to diff\n    against; use analyze_anomaly when you only have the suspicious payload.\n    Diagnostics-tier tool.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": null,
                      "description": "Load rules from this Blueprint instead of passing them inline",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "corrected_values": {
                      "additionalProperties": true,
                      "description": "Corrected/expected numeric field values as {field: number}",
                      "title": "Corrected Values",
                      "type": "object"
                    },
                    "derivation_rules": {
                      "default": null,
                      "description": "Math rules as objects. Types: add, subtract, multiply, divide, round, copy, sum (multi-operand), items_multiply, items_sum. Each needs 'type' plus its fields; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Derivation Rules",
                      "type": "array"
                    },
                    "formal_constraints": {
                      "default": null,
                      "description": "Constraint objects. Types incl. magnitude_anchor {field,min,max}, relative_anchor {field,reference_field,ratio_min,ratio_max}, max_action_threshold {field,threshold,on_violation}, required_fields {fields}, equals, range, in_set, regex_match, items_magnitude_anchor; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Formal Constraints",
                      "type": "array"
                    },
                    "original_values": {
                      "additionalProperties": true,
                      "description": "Original numeric field values as {field: number}",
                      "title": "Original Values",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "original_values",
                    "corrected_values"
                  ],
                  "title": "decompose_failureArguments",
                  "type": "object"
                },
                "name": "decompose_failure"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Summarize an already-computed state_vector into a confidence level\n    (high/medium/low) with a recommendation. Post-hoc digest - use\n    analyze_anomaly or check_drift for fresh analysis of raw data.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "state_vector": {
                      "additionalProperties": true,
                      "description": "state_vector object from a prior validate or get_execution_trace result",
                      "title": "State Vector",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "state_vector"
                  ],
                  "title": "geometric_confidenceArguments",
                  "type": "object"
                },
                "name": "geometric_confidence"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Structural realization analysis of a payload against the Blueprint's\n    reference configuration (requires a 'realization' block; otherwise\n    status=skipped). Diagnostics-tier tool; prefer validate or\n    analyze_anomaly for standard checks.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "check_realizationArguments",
                  "type": "object"
                },
                "name": "check_realization"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Check whether recent submissions still match the established pattern\n    for this Blueprint. Returns a stability verdict and observation count.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "check_driftArguments",
                  "type": "object"
                },
                "name": "check_drift"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Go/no-go for a real-world action (payment, filing, API write): runs\n    full validation, then the Blueprint's execution gate. authorized=true\n    only on PASS; REVIEW means do not proceed automatically. Different\n    from validate: validate asks is this data correct, authorize_execution\n    asks should this action happen.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data",
                    "blueprint"
                  ],
                  "title": "authorize_executionArguments",
                  "type": "object"
                },
                "name": "authorize_execution"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Load a prebuilt Blueprint template (invoices, timecards, legal, POs,\n    claims). Call without pack_id to list packs; then create_blueprint to\n    save a customized copy.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "pack_id": {
                      "default": null,
                      "description": "Rule pack ID; omit to list available packs",
                      "title": "Pack Id",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "load_rule_packArguments",
                  "type": "object"
                },
                "name": "load_rule_pack"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Run validation and return the per-node execution trace (node names,\n    deterministic flags, timing) plus the verdict and determinism hash.\n    Use validate for normal operation; this is for debugging and audit\n    preparation.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "blueprint": {
                      "default": "default",
                      "description": "Blueprint name (workflow_name) to use",
                      "title": "Blueprint",
                      "type": "string"
                    },
                    "structured_data": {
                      "additionalProperties": true,
                      "description": "The document's extracted fields as key/value pairs. Keys are open by design - your Blueprint's rules define what is checked",
                      "title": "Structured Data",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "structured_data"
                  ],
                  "title": "get_execution_traceArguments",
                  "type": "object"
                },
                "name": "get_execution_trace"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "Verify two replay contracts represent the same deterministic execution:\n    same input + same rules = same result, byte-identical. Mismatch fields\n    localize the cause (data, rules, platform version, or trace). Use to\n    prove a past decision reproduces today or that a migration changed\n    nothing.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "contract_a": {
                      "additionalProperties": true,
                      "description": "replay_contract object from one execution",
                      "title": "Contract A",
                      "type": "object"
                    },
                    "contract_b": {
                      "additionalProperties": true,
                      "description": "replay_contract object to compare against contract_a",
                      "title": "Contract B",
                      "type": "object"
                    }
                  },
                  "required": [
                    "api_key",
                    "contract_a",
                    "contract_b"
                  ],
                  "title": "verify_replayArguments",
                  "type": "object"
                },
                "name": "verify_replay"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "This account's plan, key usage, Blueprint counts, and the deployed\n    platform build fingerprint (version, build, deployed).\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "account_statusArguments",
                  "type": "object"
                },
                "name": "account_status"
              },
              {
                "annotations": {
                  "destructiveHint": true,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Permanently delete a Blueprint and revoke its API keys. Irreversible;\n    requires confirm=true. Account-level keys are unaffected.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "confirm": {
                      "default": false,
                      "description": "Must be true to confirm this irreversible action",
                      "title": "Confirm",
                      "type": "boolean"
                    },
                    "workflow_name": {
                      "description": "Blueprint to delete; its API keys are revoked",
                      "title": "Workflow Name",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "workflow_name"
                  ],
                  "title": "delete_blueprintArguments",
                  "type": "object"
                },
                "name": "delete_blueprint"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Update an existing Blueprint in place. Only passed fields change;\n    pass [] to clear a list. workflow_name cannot be renamed and existing\n    API keys keep working. Different from create_blueprint: modifies an\n    existing Blueprint, mints no new key.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "customer_name": {
                      "default": null,
                      "description": "Organization or project name (also used for storage folder naming)",
                      "title": "Customer Name",
                      "type": "string"
                    },
                    "derivation_rules": {
                      "default": null,
                      "description": "Math rules as objects. Types: add, subtract, multiply, divide, round, copy, sum (multi-operand), items_multiply, items_sum. Each needs 'type' plus its fields; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Derivation Rules",
                      "type": "array"
                    },
                    "derived_fields": {
                      "default": null,
                      "description": "Field names the platform computes from other fields, e.g. ['subtotal','total']",
                      "items": {},
                      "title": "Derived Fields",
                      "type": "array"
                    },
                    "enable_anomaly_detection": {
                      "default": null,
                      "description": "Flag records that break no rules but do not fit the reference pattern",
                      "title": "Enable Anomaly Detection",
                      "type": "boolean"
                    },
                    "enable_drift_tracking": {
                      "default": null,
                      "description": "Track pattern stability across batches",
                      "title": "Enable Drift Tracking",
                      "type": "boolean"
                    },
                    "extracted_fields": {
                      "default": null,
                      "description": "Field names the agent extracts from source data, e.g. ['vendor','qty','unit_cost']",
                      "items": {},
                      "title": "Extracted Fields",
                      "type": "array"
                    },
                    "formal_constraints": {
                      "default": null,
                      "description": "Constraint objects. Types incl. magnitude_anchor {field,min,max}, relative_anchor {field,reference_field,ratio_min,ratio_max}, max_action_threshold {field,threshold,on_violation}, required_fields {fields}, equals, range, in_set, regex_match, items_magnitude_anchor; see the blueprint_guide prompt",
                      "items": {},
                      "title": "Formal Constraints",
                      "type": "array"
                    },
                    "mode": {
                      "default": null,
                      "description": "New mode: observe or enforce; omit to keep current",
                      "title": "Mode",
                      "type": "string"
                    },
                    "require_coherence": {
                      "default": null,
                      "description": "Check cross-field plausibility",
                      "title": "Require Coherence",
                      "type": "boolean"
                    },
                    "require_consistency": {
                      "default": null,
                      "description": "Check internal field consistency",
                      "title": "Require Consistency",
                      "type": "boolean"
                    },
                    "require_high_assurance": {
                      "default": null,
                      "description": "Strictest mode: every check must pass",
                      "title": "Require High Assurance",
                      "type": "boolean"
                    },
                    "require_math": {
                      "default": null,
                      "description": "Validate mathematical relationships",
                      "title": "Require Math",
                      "type": "boolean"
                    },
                    "require_provenance": {
                      "default": null,
                      "description": "Require extraction source locations for fields",
                      "title": "Require Provenance",
                      "type": "boolean"
                    },
                    "semantic_checks": {
                      "default": null,
                      "description": "Domain-specific semantic check objects",
                      "items": {},
                      "title": "Semantic Checks",
                      "type": "array"
                    },
                    "workflow_name": {
                      "description": "Unique Blueprint identifier; the value passed as 'blueprint' in validate",
                      "title": "Workflow Name",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "workflow_name"
                  ],
                  "title": "update_blueprintArguments",
                  "type": "object"
                },
                "name": "update_blueprint"
              },
              {
                "annotations": {
                  "destructiveHint": false,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": true
                },
                "description": "List this account's API keys (masked) with their Blueprint bindings.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key"
                  ],
                  "title": "list_api_keysArguments",
                  "type": "object"
                },
                "name": "list_api_keys"
              },
              {
                "annotations": {
                  "destructiveHint": true,
                  "idempotentHint": false,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Replace an API key with a fresh one. The old key stops working\n    immediately; the new key inherits its bindings.\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "key_to_rotate": {
                      "description": "The gai_ key to rotate; it stops working immediately",
                      "title": "Key To Rotate",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "key_to_rotate"
                  ],
                  "title": "rotate_api_keyArguments",
                  "type": "object"
                },
                "name": "rotate_api_key"
              },
              {
                "annotations": {
                  "destructiveHint": true,
                  "idempotentHint": true,
                  "openWorldHint": false,
                  "readOnlyHint": false
                },
                "description": "Permanently delete one of the caller's API keys.\n\n    DESTRUCTIVE \u2014 agents using the deleted key will receive auth\n    errors immediately. The Blueprint a key was tied to (if any) is\n    NOT affected; only the credential is revoked. To delete a\n    Blueprint and all its keys, use delete_blueprint.\n\n    The target key can be specified two ways:\n      - As the full key string (gai_...).\n      - As a key_id (SHA-256 hash from list_api_keys).\n    ",
                "inputSchema": {
                  "properties": {
                    "api_key": {
                      "description": "GeodesicAI API key (gai_...)",
                      "title": "Api Key",
                      "type": "string"
                    },
                    "confirm": {
                      "default": false,
                      "description": "Must be true to confirm this irreversible action",
                      "title": "Confirm",
                      "type": "boolean"
                    },
                    "key_to_delete": {
                      "description": "The gai_ key to delete",
                      "title": "Key To Delete",
                      "type": "string"
                    }
                  },
                  "required": [
                    "api_key",
                    "key_to_delete"
                  ],
                  "title": "delete_api_keyArguments",
                  "type": "object"
                },
                "name": "delete_api_key"
              }
            ]
          }
        },
        "requested_protocol_version": "2025-03-26",
        "resumed": true,
        "session_id_present": true,
        "transport": "streamable-http",
        "url": "https://app.geodesiclabs.ai/mcp"
      },
      "latency_ms": 262.1,
      "status": "ok"
    },
    "step_up_auth_probe": {
      "details": {
        "auth_required_checks": [],
        "broad_scopes": [],
        "challenge_headers": [],
        "minimal_scope_documented": false,
        "oauth_present": false,
        "scope_specificity_ratio": 0.0,
        "step_up_signals": [],
        "supported_scopes": []
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tool_snapshot_probe": {
      "details": {
        "reason": "no_tools"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "tools_list": {
      "details": {
        "error": "Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
        "headers": {
          "content-type": "application/json",
          "mcp-session-id": "49b20fb9edde45ea90f65d2e92544496",
          "strict-transport-security": "max-age=15552000"
        },
        "http_status": 400,
        "payload": {},
        "url": "https://app.geodesiclabs.ai/mcp"
      },
      "latency_ms": 189.71,
      "status": "error"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json",
          "mcp-session-id": "e1f6ebb85cee4607aef8ad8c3e1ffec5",
          "strict-transport-security": "max-age=15552000"
        },
        "bad_protocol_payload": {
          "error": {
            "code": -32600,
            "message": "Bad Request: Unsupported protocol version: 1999-99-99. Supported versions: 2024-11-05, 2025-03-26, 2025-06-18, 2025-11-25"
          },
          "id": "server-error",
          "jsonrpc": "2.0"
        },
        "bad_protocol_status_code": 400,
        "delete_error": null,
        "delete_status_code": 200,
        "expired_session_error": null,
        "expired_session_status_code": 404,
        "issues": [
          "missing_protocol_header"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": false,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": true,
        "transport": "streamable-http"
      },
      "latency_ms": 158.16,
      "status": "warning"
    },
    "utility_coverage_probe": {
      "details": {
        "completions": {
          "advertised": false,
          "live_probe": "not_executed",
          "sample_target": null
        },
        "initialize_capability_keys": [
          "experimental",
          "prompts",
          "resources",
          "tools"
        ],
        "pagination": {
          "metadata_signal": false,
          "next_cursor_methods": [],
          "supported": false
        },
        "tasks": {
          "advertised": false,
          "http_status": 400,
          "probe_status": "missing"
        }
      },
      "latency_ms": 80.44,
      "status": "missing"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://app.geodesiclabs.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://app.geodesiclabs.ai/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    },
    "server_card": {
      "error": "Client error '404 Not Found' for url 'https://app.geodesiclabs.ai/.well-known/mcp/server-card.json'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://app.geodesiclabs.ai/.well-known/mcp/server-card.json"
    },
    "tools_list": {
      "error": "Client error '400 Bad Request' for url 'https://app.geodesiclabs.ai/mcp'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400",
      "headers": {
        "content-type": "application/json",
        "mcp-session-id": "49b20fb9edde45ea90f65d2e92544496",
        "strict-transport-security": "max-age=15552000"
      },
      "http_status": 400,
      "payload": {},
      "url": "https://app.geodesiclabs.ai/mcp"
    }
  },
  "remote_url": "https://app.geodesiclabs.ai/mcp",
  "server_card_payload": null,
  "server_identifier": "ai.geodesiclabs/governance-platform"
}
Capabilities
  • OAuth:
  • DCR/CIMD:
  • Prompts:
  • Homepage: none
  • Docs: none
  • Support: none
  • Icon: none
  • Remote endpoint: https://app.geodesiclabs.ai/mcp
  • Directory listing: none
  • Server card: none
Use-case taxonomy
other
Transport compliance drilldown
Probe status
Warning
Transport
streamable-http
Session header
yes
Protocol header
no
Bad protocol response
400
DELETE teardown
200
Expired session retry
404
Last-Event-ID visible
no

Issues: missing_protocol_header

Request association
Status
Missing
Advertised capabilities
none
Observed idle methods
none
Violating methods
none
Probe HTTP status
n/a
Issues
none
Connector replay
Status
Missing
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.