← Back to search
ai.agenticshelf/mcp

Agentic Shelf

Hosted MCP for e-commerce: live product catalog, stock, and pricing for AI agents.

EXECUTIVE VERDICT

Executive verdict

Production trust decision: Allow with approval
Reason: write/exec approval gaps + high-risk tools need review
Next action: export policy, configure alerts, require approval for writes
Status
Healthy
Score
74.4
Transport
streamable-http
Tools
5

Current trust snapshot

Snapshot ID
trustsnap_3bb9cc767b24282f
Use this ID to compare server page, report, policy, MCP, homepage, ranking, and shortlist surfaces.
Snapshot generated
May 13, 2026 06:01:48 PM UTC
All page, report, policy, and MCP surfaces use this same server-detail snapshot shape.
Last validated
May 13, 2026 02:20:00 PM UTC
Age: 3.7h • freshness band: Verified in last 24h • display score: 74.41
Production trust decision
Allow with approval
write/exec approval gaps + high-risk tools need review
Readiness class
Safe for evaluation
The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.
SERVER OWNER FUNNEL

Own this MCP?

Claim ownership, prove control with a GitHub, DNS, or HTTP token challenge, revalidate now, publish a badge, and configure monitoring.

1. Claim
unclaimed
Start owner claim with GitHub, DNS, or HTTP challenge instructions.
2. Revalidate
POST /v1/servers/ai.agenticshelf/mcp/revalidate
Verified owners get priority queueing after proof succeeds.
3. Badge
Verified by MCP Verify badge
Verified by MCP Verify - score 74.4 - last checked May 13, 2026
4. Monitor
Continuous Verify plan is self-serve: choose a tier, configure watches, add authenticated validation, trigger revalidation, and use the badge.
Badge embed
[![Verified by MCP Verify](https://verify.sentinelsignal.io/badge/ai.agenticshelf/mcp.svg)](https://verify.sentinelsignal.io/servers/ai.agenticshelf/mcp)

MCP TrustOps

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

Freshness band
Verified in last 24h
Policy SLA: 168.0h • confidence-weighted score: 59.5 • stale score suppressed:
Policy exports
Formats: json, rego, yaml, github_action, gateway_config, client_report
Runtime routing
/v1/route
Returns allowed tools, blocked tools, approval requirement, and reason.
Authenticated validation
Premium publisher feature: paid authenticated runs verify scopes, write-action safeguards, and authorized tool execution.
Active trust badges
Freshly Validated Claude Remote MCP Ready No Critical Risk
Semantic benchmarks
available
Templates cover GitHub, database, healthcare, web search, and CRM least-privilege jobs.
Supply chain
metadata signal
Deep scan checks are marked separately from public metadata signals.
Compliance metadata
Terms, privacy, SOC 2, HIPAA, GDPR, retention, deletion, and audit-log fields are tracked as enterprise metadata.
Alert subscription types
Status changes Score drops or recovers Freshness SLA breach Validation schema drift OAuth or auth behavior changes Tool surface changes New or changed write tool Supply-chain signal changes Legal or compliance metadata changes

Production readiness class

Production readiness class
Safe for evaluation
The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.
Critical alerts
0
Production verdicts degrade quickly when critical alerts are active.

Evidence confidence

Confidence score
80.0
Based on 4 recent validations, 26 captured checks, and validation age of 3.7 hours.
Live checks captured
26
More direct checks increase trust in the current verdict.
Validation age
3.7h
Lower age means fresher evidence.

Recommended for

Claude Desktop
Claude Desktop is marked compatible with score 100.
Smithery
Smithery is marked compatible with score 80.
Generic Streamable HTTP
Generic Streamable HTTP is marked compatible with score 100.

Client compatibility verdicts

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

Client compatibility: ChatGPT
Partially client-compatible
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.
Confidence: high (80.0)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listOK
  • transport_compliance_probeWarning
  • step_up_auth_probeMissing
  • connector_replay_probeOK — Frozen tool snapshots must survive refresh.
  • request_association_probeMissing — Roots, sampling, and elicitation should stay request-scoped.
Client compatibility: Claude
Client-compatible
No major blockers detected.
Confidence: high (80.0)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history, server_card
Disagreements: none
  • initializeOK
  • tools_listOK
  • transport_compliance_probeWarning
Write-action publishing
Publishing blocked
Blocked until safeguards and confirmation semantics are verified for write, exec, or destructive tools.
Confidence: high (80.0)
Evidence provenance
Winner: live_validation
Supporting sources: live_validation, history
Disagreements: none
  • action_safety_probeError
Snapshot churn risk
Low
No material tool-surface churn detected in the latest comparison.
Confidence: high (80.0)
Evidence provenance
Winner: history
Supporting sources: history, live_validation
Disagreements: none
  • tool_snapshot_probeOK
  • connector_replay_probeOK

Why compatibility is limited by client

ChatGPT custom connector
Partial
Remediation checklist
  • No explicit blockers recorded.
Claude remote MCP
Ready
Remediation checklist
  • No explicit blockers recorded.
Write-safe publishing
Blocked
Remediation checklist
  • No explicit blockers recorded.

Verdict traces

Production verdict
Safe for evaluation
The server is suitable for evaluation, but remaining gaps should be resolved before broad production use.
Confidence: high (80.0)
Winning source: live_validation
Triggering alerts
  • No active alert triggers.
Client verdict trace table
VerdictStatusChecksWinning sourceConflicts
openai_connectors Partially client-compatible initialize, tools_list, transport_compliance_probe, step_up_auth_probe, connector_replay_probe, request_association_probe live_validation none
claude_desktop Client-compatible initialize, tools_list, transport_compliance_probe live_validation none
unsafe_for_write_actions Publishing blocked action_safety_probe live_validation none
snapshot_churn_risk Low tool_snapshot_probe, connector_replay_probe history none

Publishability policy profiles

ChatGPT custom connector compatibility
Compatible with review
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.
  • Search Fetch Only: No
  • Write Actions Present: Yes
  • Oauth Configured: No
  • Admin Refresh Required: No
  • Safe For Company Knowledge: No
  • Safe For Messages Api Remote Mcp: No
Claude remote MCP compatibility
Connector-compatible
Transport, discovery, and remote-MCP assumptions are satisfied. Compatibility is not a production approval; company knowledge and Messages API gates remain separate.
  • Search Fetch Only: No
  • Write Actions Present: Yes
  • 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.
  • remote_http_endpoint: Passes
  • oauth_discovery: Degraded
  • frozen_tool_snapshot_refresh: Passes
  • request_association: Passes
Anthropic remote MCP fixture
Passes
Remote MCP transport and discovery assumptions are satisfied.
  • remote_transport: Passes
  • tool_discovery: Passes
  • auth_connect: Passes
  • safe_write_review: Degraded

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

Public server reputation

Validation success 7d
1.0
Validation success 30d
1.0
Mean time to recover
n/a
Breaking diffs 30d
0
Registry drift frequency 30d
0
Snapshot changes 30d
0

Incident & change feed

TimestampEventDetails
May 13, 2026 02:20:00 PM UTC Latest validation: healthy Score 74.4 with status healthy.
May 13, 2026 02:20:00 PM UTC Score changed Score delta -0.4 versus the previous run.
May 13, 2026 02:19:09 AM UTC Score changed Score delta +0.5 versus the previous run.
May 12, 2026 02:18:12 PM UTC Score changed Score delta +3.7 versus the previous run.

Capabilities

Use-case taxonomy
development database search communication

Security posture

Tools analyzed
5
High-risk tools
1
Destructive tools
0
Exec tools
1
Egress tools
0
Secret tools
0
Bulk-access tools
2
Risk distribution
low:2, medium:2, high:1

Tool capability & risk inventory

ToolCapabilitiesRiskFindingsNotes
check_stock read network Medium none No explicit safeguard hints detected.
get_product_details read Low none No explicit safeguard hints detected.
get_price read Low none No explicit safeguard hints detected.
list_products read network export Medium bulk data access Safeguards hinted in metadata.
search_products read exec network export High command execution bulk data access freeform input surface No explicit safeguard hints detected.

Write-action governance

Governance status
Error
Safe to publish
Auth boundary
public_or_unclear
Blast radius
High
High-risk tools
1
Confirmation signals
none
Safeguard count
1

Status detail: 1 high-risk tool(s), 1 exec-capable tool(s) are exposed without a clear auth boundary; 1 safeguard(s) and 0 confirmation signal(s) detected.

ToolRiskFlagsSafeguards
search_products High command execution bulk data access freeform input surface no

Action-controls diff

Snapshot changed
no
Disabled-by-default candidates
none
Manual review candidates
none
New actions
ActionRiskFlags
No newly added actions.
Changed actions
ActionChange typesRisk
No materially changed actions.

Why this score?

Access & Protocol
32/44
Connectivity, auth, and transport expectations for common clients.
Interface Quality
35/56
How well the tool/resource interface communicates and behaves under automation.
Security Posture
27.35/36
How safely the exposed tool surface handles destructive actions, egress, execution, secrets, and risky inputs.
Reliability & Trust
22/24
Operational stability, consistency, and trustworthiness over time.
Discovery & Governance
23.5/28
How well the server is documented, listed, and governed in public registries.
Adoption & Market
6/8
Adoption clues and public evidence that the server is intended for external use.

Algorithmic score breakdown

Auth Operability
2/4
Measures whether auth discovery and protected access behave predictably for clients.
Error Contract Quality
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
2/4
Completeness of tool descriptions, parameter docs, examples, and schema shape.
Backward Compatibility
4/4
Stability score across tool schema/name drift relative to prior validations.
SLO Health
4/4
Availability, latency, and burst-failure profile across recent validation history.
Security Hygiene
4/4
HTTPS posture, endpoint hygiene, and response-surface hardening checks.
Task Success
4/4
Can an agent reliably initialize, enumerate tools, and execute core MCP flows?
Trust Confidence
2/4
Confidence-adjusted reliability score that penalizes low evidence volume.
Abuse/Noise Resilience
4/4
How well the server preserves core behavior in the presence of noisy traffic patterns.
Prompt Contract
2/4
Quality of prompt metadata, argument shape, and prompt discoverability for clients.
Resource Contract
2/4
How completely resources and resource templates describe URIs, types, and usage shape.
Discovery Metadata
4/4
Homepage, docs, icon, repository, support, and license coverage for directory consumers.
Registry Consistency
3/4
Agreement between stored registry metadata, live server-card data, and current validation output.
Installability
4/4
How cleanly a real client can connect, initialize, enumerate tools, and proceed through auth.
Session Semantics
4/4
Determinism and state behavior across repeated MCP calls, including sticky-session surprises.
Tool Surface Design
3/4
Naming clarity, schema ergonomics, and parameter complexity across the tool surface.
Result Shape Stability
4/4
Stability of declared output schemas across validations, with penalties for drift or missing shapes.
OAuth Interop
3/4
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
3/4
Directory presence and distribution clues that suggest the server is intended for external use.
Freshness Confidence
4/4
Confidence that recent validations are current enough and dense enough to trust operationally.
Transport Fidelity
4/4
Whether declared transport metadata matches the observed endpoint behavior and response formats.
Spec Recency
2/4
How close the server’s claimed MCP protocol version is to the latest known public revision.
Session Resume
3/4
Whether Streamable HTTP session identifiers and resumed requests behave cleanly for real clients.
Step-Up Auth
3/4
Whether OAuth metadata and WWW-Authenticate challenges support granular, incremental consent instead of broad upfront scopes.
Transport Compliance
2/4
Checks session headers, protocol-version enforcement, session teardown, and expired-session behavior.
Utility Coverage
2/4
Signals support for completions, pagination, and task-oriented utility surfaces that larger clients increasingly expect.
Advanced Capability Coverage
3/4
Coverage of newer MCP surfaces like roots, sampling, elicitation, structured output, and related metadata.
Connector Publishability
3/4
How ready the server looks for client catalogs and managed connector programs.
Tool Snapshot Churn
4/4
Stability of the tool surface across recent validations, including add/remove and output-shape drift.
Connector Replay
4/4
Whether a previously published frozen connector snapshot would remain backward compatible after the latest tool refresh.
Request Association
3/4
Whether roots, sampling, and elicitation appear tied to active client requests instead of arriving unsolicited on idle sessions.
Interactive Flow Safety
4/4
Whether prompts and docs steer users toward safe auth flows instead of pasting secrets directly.
Action Safety
2/4
Risk-weighted view of destructive, exec, egress, and confirmation semantics across the tool surface.
Official Registry Presence
4/4
Whether the server appears directly or indirectly in the official MCP registry.
Provenance Divergence
4/4
How closely official registry metadata, the live server card, and public repo/package signals agree with each other.
Safety Transparency
3/4
Clarity of docs, auth disclosure, support links, and other trust signals visible to integrators.
Tool Capability Clarity
3/4
How clearly the tool surface communicates whether each action reads, writes, deletes, executes, or exports data.
Destructive Operation Safety
3/4
Penalizes delete/revoke/destroy style tools unless auth and safeguards reduce blast radius.
Egress / SSRF Resilience
3/4
Assesses arbitrary URL fetch, crawl, webhook, and remote-request exposure on the tool surface.
Execution / Sandbox Safety
2/4
Evaluates shell, code, script, and command-execution exposure and whether that surface appears contained.
Data Exfiltration Resilience
3.4/4
Assesses export, dump, backup, and bulk-read behavior against the surrounding auth and safeguard signals.
Least Privilege Scope
2/4
Rewards scoped auth metadata and penalizes broad or missing scopes around privileged tools.
Secret Handling Hygiene
3/4
Assesses secret-bearing tools, token leakage risk, and whether the public surface avoids obvious secret exposure.
Supply Chain Signal
2.5/4
Public metadata signal for repository, changelog, license, versioning, and recency that supports supply-chain trust.
Input Sanitization Safety
3/4
Penalizes risky freeform string inputs when schemas do not constrain URLs, code, paths, queries, or templates.
Tool Namespace Clarity
4/4
Measures naming uniqueness and ambiguity across the tool namespace to reduce collision and confusion risk.

Compatibility profiles

OpenAI Connectors
77.8
partial
OpenAI connectors expect OAuth for remote server auth.; Dynamic client registration materially improves connector setup.
Connector URL: https://api.agenticshelf.ai/mcp
# No OAuth metadata detected.
# Server: ai.agenticshelf/mcp
Claude Desktop
100.0
compatible
No major blockers detected.
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": ["mcp-remote", "https://api.agenticshelf.ai/mcp"]
    }
  }
}
Smithery
80.0
compatible
Machine-readable failure semantics should be present.
smithery mcp add "https://api.agenticshelf.ai/mcp"
Generic Streamable HTTP
100.0
compatible
No major blockers detected.
curl -sS https://api.agenticshelf.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"}}}'

Actionable remediation

SeverityRemediationWhy it mattersRecommended action
High Add confirmation and dry-run semantics for risky actions High-risk write, delete, exec, or egress tools should communicate safeguards clearly. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
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 Associate roots, sampling, and elicitation with active client requests Modern MCP guidance expects roots, sampling, and elicitation traffic to be tied to an active client request instead of arriving unsolicited on idle sessions. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
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.
Medium Adopt a current MCP protocol revision Older protocol revisions reduce compatibility with newer clients and registry programs. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
Medium Close connector-publishing gaps Connector catalogs care about protocol recency, session behavior, auth clarity, and tool-surface stability. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
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
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
Medium Support resumable HTTP sessions cleanly Modern MCP clients increasingly expect resumable session behavior on streamable HTTP transports. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.
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. Inspect the latest validation evidence and resolve the client-visible regression.
Playbook
  • Inspect the latest validation evidence.
  • Resolve the highest-severity client-facing gap first.
  • Revalidate and confirm the score and verdict improve.

Point loss breakdown

ComponentCurrentPoints missing
Recovery Semantics 0/4 -4.0
Error Contract 0/4 -4.0
Utility Coverage 2/4 -2.0
Trust Confidence 2/4 -2.0
Transport Compliance 2/4 -2.0
Spec Recency 2/4 -2.0
Schema Completeness 2/4 -2.0
Resource Contract 2/4 -2.0
Rate Limit Semantics 2/4 -2.0
Prompt Contract 2/4 -2.0
Least Privilege Scope 2/4 -2.0
Execution Sandbox Safety 2/4 -2.0

Validation diff

Score delta
-0.42
Summary changed
no
Tool delta
0
Prompt delta
0
Auth mode changed
no
Write surface expanded
no
Protocol regressed
no
Registry drift changed
no

Regressed checks: none

Improved checks: none

ComponentPreviousLatestDelta
trust_confidence_score3.812.0-1.81
freshness_confidence_score3.04.01.0

Tool snapshot diff & changelog

Snapshot changed
no
Added tools
none
Removed tools
none
Required-argument changes
ToolAdded required argsRemoved required args
No required-argument changes detected.
Output-schema drift
ToolPrevious propertiesLatest properties
No output-schema drift detected.

Connector replay

Status
OK
Backward compatible
Would break after refresh
Added tools
none
Removed tools
none
Additive output changes
none
Required-argument replay breaks
ToolAdded required argsRemoved required args
No required-argument replay breaks detected.
Output-schema replay breaks
ToolRemoved propertiesAdded properties
No output-schema replay breaks detected.

Transport compliance drilldown

Probe status
Warning
Transport
streamable-http
Session header
no
Protocol header
no
Bad protocol response
400
DELETE teardown
n/a
Expired session retry
n/a
Last-Event-ID visible
no

Issues: missing_session_id, missing_protocol_header

Request association

Status
Missing
Advertised capabilities
none
Observed idle methods
none
Violating methods
none
Probe HTTP status
n/a
Issues
none

Utility coverage

Probe status
Missing
Completions
not detected
Completion probe target: none
Pagination
not detected
No nextCursor evidence.
Tasks
Missing
Advertised: no

Benchmark tasks

Benchmark taskStatusEvidence
Discover tools Passes
  • initializeOK
  • tools_listOK
Read-only fetch flow Degraded
  • resource_readMissing
  • read_only_tool_surfaceOK
OAuth-required connect Degraded
  • oauth_protected_resourceError
  • step_up_auth_probeMissing
Safe write flow with confirmation Likely to fail
  • action_safety_probeError

Registry & provenance divergence

Probe status
OK
Direct official match
yes
Drift fields
none
FieldRegistryLive server card
Titlen/aAgentic Shelf — Live Inventory
Versionn/a0.1.0
Homepagen/an/a

Active alerts

No active alerts for the current server state.

Aliases & registry graph

IdentifierSourceCanonicalScore
ai.agenticshelf/mcp official_registry yes 74.41

Alias consolidation

Canonical identifier
ai.agenticshelf/mcp
Duplicate aliases
0
Registry sources
official_registry
Source disagreements
FieldWhat differsObserved values
No source disagreements detected.

Install snippets

Openai Connectors
Connector URL: https://api.agenticshelf.ai/mcp
# No OAuth metadata detected.
# Server: ai.agenticshelf/mcp
Claude Desktop
{
  "mcpServers": {
    "mcp": {
      "command": "npx",
      "args": ["mcp-remote", "https://api.agenticshelf.ai/mcp"]
    }
  }
}
Smithery
smithery mcp add "https://api.agenticshelf.ai/mcp"
Generic Http
curl -sS https://api.agenticshelf.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
check_stock get_product_details get_price list_products search_products
Observed from the latest live validation against https://api.agenticshelf.ai/mcp. This is the target server surface, not Verify's own inspection tools.
Live capability counts
5 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.agenticshelf/mcp.
Direct machine links

Claims & monitoring

Server ownership

No verified maintainer claim recorded.

Watch subscriptions
0
Teams: none

Alert routing

Active watches
0
Generic webhooks
0
Slack routes
0
Teams routes
0
Email routes
0
WatchTeamChannelsMinimum severity
No active watch destinations.

Maintainer analytics

Validation Run Count
4
Average Latency Ms
622.46
Healthy Run Ratio Recent
1.0
Registry Presence Count
1
Active Alert Count
0
Watcher Count
0
Verified Claim
False
Taxonomy Tags
development, database, search, communication
Score Trend
74.41, 74.83, 74.38, 70.71
Remediation Count
12
High Risk Tool Count
1
Destructive Tool Count
0
Exec Tool Count
1

Maintainer response quality

Score
16.67
Verified claim
Support contact
Changelog present
Incident notes present
Tool changes documented
Annotation history
Annotation count
0

Maintainer annotations

No maintainer annotations have been recorded yet.

Maintainer rebuttals & expected behavior

No maintainer rebuttals or expected-behavior overrides are recorded yet.

Latest validation evidence

Latest summary
Healthy
Validation profile
remote_mcp
Started
May 13, 2026 02:20:00 PM UTC
Latency
705.5 ms

Failures

Checks

CheckStatusLatencyEvidence
action_safety_probe Error n/a 1 high-risk, 1 exec-capable tool(s); no clear auth boundary; safeguards=1; confirmation=none.
advanced_capabilities_probe Warning n/a Only 3 capability signal(s): prompts, resources, structured outputs.
connector_publishability_probe Warning n/a Publishability blockers: action safety.
connector_replay_probe OK n/a Backward compatible with no breaking tool-surface changes.
determinism_probe OK 61.8 ms Check completed
initialize OK 87.5 ms Protocol 2025-03-26
interactive_flow_probe OK n/a Check completed
oauth_authorization_server Missing n/a no authorization server
oauth_protected_resource Error 51.4 ms Client error '404 Not Found' for url 'https://api.agenticshelf.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 42.4 ms Fetched https://api.agenticshelf.ai/robots.txt
prompt_get Missing n/a not advertised
prompts_list OK 47.6 ms 0 prompt(s) exposed
protocol_version_probe Warning n/a Claims 2025-03-26; 2 release(s) behind 2025-11-25.
provenance_divergence_probe OK 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 OK 61.6 ms 0 resource item(s) exposed
server_card OK 111.4 ms authentication, capabilities, schema_version, serverInfo
session_resume_probe Warning n/a no session id
step_up_auth_probe Missing n/a No OAuth or incremental-scope signals detected.
tool_snapshot_probe OK n/a Check completed
tools_list OK 64.1 ms 5 tool(s) exposed
transport_compliance_probe Warning 61.1 ms Issues: missing session id, missing protocol header (bad protocol=400).
utility_coverage_probe Missing 44.4 ms No completions evidence; no pagination evidence; tasks missing.

Raw evidence view

Show raw JSON evidence
{
  "checks": {
    "action_safety_probe": {
      "details": {
        "auth_present": false,
        "confirmation_signals": [],
        "safeguard_count": 1,
        "summary": {
          "bulk_access_tools": 2,
          "capability_distribution": {
            "exec": 1,
            "export": 2,
            "network": 3,
            "read": 5
          },
          "destructive_tools": 0,
          "egress_tools": 0,
          "exec_tools": 1,
          "high_risk_tools": 1,
          "risk_distribution": {
            "critical": 0,
            "high": 1,
            "low": 2,
            "medium": 2
          },
          "secret_tools": 0,
          "tool_count": 5
        }
      },
      "latency_ms": null,
      "status": "error"
    },
    "advanced_capabilities_probe": {
      "details": {
        "capabilities": {
          "completions": false,
          "elicitation": false,
          "prompts": true,
          "resource_links": false,
          "resources": true,
          "roots": false,
          "sampling": false,
          "structured_outputs": true
        },
        "enabled": [
          "prompts",
          "resources",
          "structured_outputs"
        ],
        "enabled_count": 3,
        "initialize_capability_keys": [
          "experimental",
          "prompts",
          "resources",
          "tools"
        ]
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_publishability_probe": {
      "details": {
        "blockers": [
          "action_safety"
        ],
        "criteria": {
          "action_safety": false,
          "auth_flow": true,
          "connector_replay": true,
          "initialize": true,
          "protocol_version": true,
          "remote_transport": true,
          "request_association": true,
          "server_card": true,
          "session_resume": true,
          "step_up_auth": true,
          "tool_surface": true,
          "tools_list": true,
          "transport_compliance": true
        },
        "high_risk_tools": 1,
        "tool_count": 5,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "connector_replay_probe": {
      "details": {
        "added_tools": [],
        "additive_output_changes": [],
        "backward_compatible": true,
        "output_breaks": [],
        "removed_tools": [],
        "required_arg_breaks": [],
        "would_break_after_refresh": false
      },
      "latency_ms": null,
      "status": "ok"
    },
    "determinism_probe": {
      "details": {
        "attempts": 2,
        "baseline_signature": "51aae36c3e5e357adfd9f975e30bd2ba660c78ad67a9355bdac97cdf58205059",
        "errors": [],
        "matches": 2,
        "stable_ratio": 1.0,
        "successful": 2
      },
      "latency_ms": 61.83,
      "status": "ok"
    },
    "initialize": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 1,
          "jsonrpc": "2.0",
          "result": {
            "capabilities": {
              "experimental": {},
              "prompts": {
                "listChanged": false
              },
              "resources": {
                "listChanged": false,
                "subscribe": false
              },
              "tools": {
                "listChanged": false
              }
            },
            "protocolVersion": "2025-03-26",
            "serverInfo": {
              "name": "AgenticShelf-Inventory",
              "version": "1.26.0"
            }
          }
        },
        "url": "https://api.agenticshelf.ai/mcp"
      },
      "latency_ms": 87.5,
      "status": "ok"
    },
    "interactive_flow_probe": {
      "details": {
        "oauth_supported": false,
        "prompt_available": false,
        "risk_hits": [],
        "safe_hits": [
          "oauth"
        ]
      },
      "latency_ms": null,
      "status": "ok"
    },
    "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://api.agenticshelf.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
        "url": "https://api.agenticshelf.ai/.well-known/oauth-protected-resource"
      },
      "latency_ms": 51.38,
      "status": "error"
    },
    "official_registry_probe": {
      "details": {
        "direct_match": true,
        "official_peer_count": 1,
        "registry_identifier": "ai.agenticshelf/mcp",
        "registry_source": "official_registry"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "openid_configuration": {
      "details": {
        "reason": "no_authorization_server"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "probe_noise_resilience": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 404,
        "url": "https://api.agenticshelf.ai/robots.txt"
      },
      "latency_ms": 42.39,
      "status": "ok"
    },
    "prompt_get": {
      "details": {
        "reason": "not_advertised"
      },
      "latency_ms": null,
      "status": "missing"
    },
    "prompts_list": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 3,
          "jsonrpc": "2.0",
          "result": {
            "prompts": []
          }
        },
        "url": "https://api.agenticshelf.ai/mcp"
      },
      "latency_ms": 47.57,
      "status": "ok"
    },
    "protocol_version_probe": {
      "details": {
        "claimed_version": "2025-03-26",
        "lag_days": 244,
        "latest_known_version": "2025-11-25",
        "releases_behind": 2,
        "validator_protocol_version": "2025-03-26"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "provenance_divergence_probe": {
      "details": {
        "direct_official_match": true,
        "drift_fields": [],
        "metadata_document_count": 3,
        "registry_homepage": null,
        "registry_repository": null,
        "registry_title": null,
        "registry_version": null,
        "server_card_homepage": null,
        "server_card_repository": null,
        "server_card_title": "Agentic Shelf \u2014 Live Inventory",
        "server_card_version": "0.1.0"
      },
      "latency_ms": null,
      "status": "ok"
    },
    "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": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 5,
          "jsonrpc": "2.0",
          "result": {
            "resources": []
          }
        },
        "url": "https://api.agenticshelf.ai/mcp"
      },
      "latency_ms": 61.63,
      "status": "ok"
    },
    "server_card": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "authentication": {
            "description": "Anonymous tools/list works for discovery. Authenticated tool calls require an Authorization: Bearer <Firebase ID token> header \u2014 tokens are issued via the merchant console at agenticshelf.ai/console after a customer signs in with Google and OAuth-connects their Shopify store.",
            "required": false,
            "scheme": "firebase-id-token",
            "tokenSource": "https://www.agenticshelf.ai/console",
            "type": "bearer"
          },
          "capabilities": {
            "tools": [
              {
                "description": "Real-time inventory, price, and shipping availability for a product SKU. Returns stock count, price in USD, can_ship_today flag.",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "description": "Product SKU",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "type": "object"
                },
                "name": "check_stock"
              },
              {
                "description": "Full product metadata: title, description, image URL, tags, inventory quantity. Optimized for AI agents.",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "description": "Product SKU",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "type": "object"
                },
                "name": "get_product_details"
              },
              {
                "description": "Current price in USD for a product SKU.",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "description": "Product SKU",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "type": "object"
                },
                "name": "get_price"
              }
            ]
          },
          "schema_version": "2026-04",
          "serverInfo": {
            "description": "Real-time product catalog and inventory across multi-tenant e-commerce stores via MCP. Each merchant connects their Shopify store via OAuth at agenticshelf.ai/console; AI agents query their live catalog using a per-tenant Firebase ID token.",
            "documentation": "https://www.agenticshelf.ai/console",
            "homepage": "https://www.agenticshelf.ai",
            "name": "Agentic Shelf \u2014 Live Inventory",
            "repository": "https://github.com/vboykoCTO/agentic-shelf",
            "vendor": "Agentic Shelf",
            "version": "0.1.0"
          },
          "tags": [
            "e-commerce",
            "shopify",
            "inventory",
            "shopping",
            "agent",
            "multi-tenant"
          ],
          "transport": {
            "endpoint": "https://api.agenticshelf.ai/mcp",
            "type": "streamable-http"
          }
        },
        "url": "https://api.agenticshelf.ai/.well-known/mcp/server-card.json"
      },
      "latency_ms": 111.37,
      "status": "ok"
    },
    "session_resume_probe": {
      "details": {
        "protocol_version": "2025-03-26",
        "reason": "no_session_id",
        "resume_expected": true,
        "transport": "streamable-http"
      },
      "latency_ms": null,
      "status": "warning"
    },
    "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": {
        "added": [],
        "changed_outputs": [],
        "current_tool_count": 5,
        "previous_tool_count": 5,
        "removed": [],
        "similarity": 1.0
      },
      "latency_ms": null,
      "status": "ok"
    },
    "tools_list": {
      "details": {
        "headers": {
          "content-type": "application/json"
        },
        "http_status": 200,
        "payload": {
          "id": 2,
          "jsonrpc": "2.0",
          "result": {
            "tools": [
              {
                "description": "\n    Check real-time inventory, price, and shipping for a product SKU.\n\n    This tool queries the connected e-commerce platform (Shopify, WooCommerce, etc.)\n    for live inventory data. Returns current stock level, price, and\n    availability status.\n\n    Args:\n        sku: Product SKU (Stock Keeping Unit) - e.g., \"RED-WIDGET-001\"\n\n    Returns:\n        Dictionary with:\n        - sku: The requested SKU\n        - stock: Current inventory count\n        - price: Current price in USD\n        - can_ship_today: Boolean indicating same-day shipping availability\n        - message: Human-readable status message\n\n    Example:\n        >>> await check_stock(\"WIDGET-001\")\n        {\n            \"sku\": \"WIDGET-001\",\n            \"stock\": 42,\n            \"price\": 29.99,\n            \"can_ship_today\": True,\n            \"message\": \"\u2705 WIDGET-001 (Awesome Widget) - 42 in stock at $29.99\"\n        }\n    ",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "title": "Sku",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "title": "check_stockArguments",
                  "type": "object"
                },
                "name": "check_stock",
                "outputSchema": {
                  "additionalProperties": true,
                  "title": "check_stockDictOutput",
                  "type": "object"
                }
              },
              {
                "description": "\n    Get full product details optimized for AI agents (structured JSON).\n\n    Args:\n        sku: Product SKU - e.g., \"WIDGET-001\"\n\n    Returns:\n        Dictionary with catalog fields; ``found`` is False when the SKU is missing.\n    ",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "title": "Sku",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "title": "get_product_detailsArguments",
                  "type": "object"
                },
                "name": "get_product_details",
                "outputSchema": {
                  "additionalProperties": true,
                  "title": "get_product_detailsDictOutput",
                  "type": "object"
                }
              },
              {
                "description": "\n    Get current price for a product SKU.\n\n    Args:\n        sku: Product SKU - e.g., \"WIDGET-001\"\n\n    Returns:\n        Dictionary with sku and current price\n\n    Example:\n        >>> await get_price(\"WIDGET-001\")\n        {\"sku\": \"WIDGET-001\", \"price\": 29.99, \"currency\": \"USD\"}\n    ",
                "inputSchema": {
                  "properties": {
                    "sku": {
                      "title": "Sku",
                      "type": "string"
                    }
                  },
                  "required": [
                    "sku"
                  ],
                  "title": "get_priceArguments",
                  "type": "object"
                },
                "name": "get_price",
                "outputSchema": {
                  "additionalProperties": true,
                  "title": "get_priceDictOutput",
                  "type": "object"
                }
              },
              {
                "description": "List products from the connected store, paginated.\n\n    Use this tool when an agent needs to DISCOVER products by browsing the\n    catalog rather than VERIFYING a known SKU. The response includes the SKU\n    for every product, so a follow-up ``check_stock(sku)`` or\n    ``get_product_details(sku)`` is a natural next step.\n\n    Args:\n        limit: Number of products to return (1-50, default 10).\n        cursor: Opaque cursor from a previous response's ``next_cursor``.\n            Omit for the first page.\n\n    Returns:\n        Dictionary with:\n        - products: list of {sku, title, description (\u2264400 chars),\n          product_type, tags, price, currency, available, image_url,\n          storefront_url}\n        - next_cursor: str or null \u2014 pass to the next call to paginate\n        - has_more: bool \u2014 whether more products exist\n        - live / source: provenance flags\n    ",
                "inputSchema": {
                  "properties": {
                    "cursor": {
                      "anyOf": [
                        {
                          "type": "string"
                        },
                        {
                          "type": "null"
                        }
                      ],
                      "default": null,
                      "title": "Cursor"
                    },
                    "limit": {
                      "default": 10,
                      "title": "Limit",
                      "type": "integer"
                    }
                  },
                  "title": "list_productsArguments",
                  "type": "object"
                },
                "name": "list_products",
                "outputSchema": {
                  "additionalProperties": true,
                  "title": "list_productsDictOutput",
                  "type": "object"
                }
              },
              {
                "description": "Search products in the connected store by keyword.\n\n    Use this when a shopper's query suggests specific terms the agent can\n    match against product titles or tags \u2014 e.g. \"HEPA air purifier\" or\n    \"leather wristwatch\". Matches Shopify's native storefront search\n    behavior, so results align with what customers would find on the site.\n\n    Args:\n        query: Keyword or phrase to match.\n        limit: Max products to return (1-50, default 10).\n\n    Returns:\n        Same shape as ``list_products``. Empty products list when no matches.\n    ",
                "inputSchema": {
                  "properties": {
                    "limit": {
                      "default": 10,
                      "title": "Limit",
                      "type": "integer"
                    },
                    "query": {
                      "title": "Query",
                      "type": "string"
                    }
                  },
                  "required": [
                    "query"
                  ],
                  "title": "search_productsArguments",
                  "type": "object"
                },
                "name": "search_products",
                "outputSchema": {
                  "additionalProperties": true,
                  "title": "search_productsDictOutput",
                  "type": "object"
                }
              }
            ]
          }
        },
        "url": "https://api.agenticshelf.ai/mcp"
      },
      "latency_ms": 64.07,
      "status": "ok"
    },
    "transport_compliance_probe": {
      "details": {
        "bad_protocol_error": null,
        "bad_protocol_headers": {
          "content-type": "application/json"
        },
        "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": null,
        "expired_session_error": null,
        "expired_session_status_code": null,
        "issues": [
          "missing_session_id",
          "missing_protocol_header"
        ],
        "last_event_id_visible": false,
        "protocol_header_present": false,
        "requested_protocol_version": "2025-03-26",
        "session_id_present": false,
        "transport": "streamable-http"
      },
      "latency_ms": 61.13,
      "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": 200,
          "probe_status": "missing"
        }
      },
      "latency_ms": 44.35,
      "status": "missing"
    }
  },
  "failures": {
    "oauth_authorization_server": {
      "reason": "no_authorization_server"
    },
    "oauth_protected_resource": {
      "error": "Client error '404 Not Found' for url 'https://api.agenticshelf.ai/.well-known/oauth-protected-resource'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404",
      "url": "https://api.agenticshelf.ai/.well-known/oauth-protected-resource"
    },
    "openid_configuration": {
      "reason": "no_authorization_server"
    }
  },
  "remote_url": "https://api.agenticshelf.ai/mcp",
  "server_card_payload": {
    "authentication": {
      "description": "Anonymous tools/list works for discovery. Authenticated tool calls require an Authorization: Bearer <Firebase ID token> header \u2014 tokens are issued via the merchant console at agenticshelf.ai/console after a customer signs in with Google and OAuth-connects their Shopify store.",
      "required": false,
      "scheme": "firebase-id-token",
      "tokenSource": "https://www.agenticshelf.ai/console",
      "type": "bearer"
    },
    "capabilities": {
      "tools": [
        {
          "description": "Real-time inventory, price, and shipping availability for a product SKU. Returns stock count, price in USD, can_ship_today flag.",
          "inputSchema": {
            "properties": {
              "sku": {
                "description": "Product SKU",
                "type": "string"
              }
            },
            "required": [
              "sku"
            ],
            "type": "object"
          },
          "name": "check_stock"
        },
        {
          "description": "Full product metadata: title, description, image URL, tags, inventory quantity. Optimized for AI agents.",
          "inputSchema": {
            "properties": {
              "sku": {
                "description": "Product SKU",
                "type": "string"
              }
            },
            "required": [
              "sku"
            ],
            "type": "object"
          },
          "name": "get_product_details"
        },
        {
          "description": "Current price in USD for a product SKU.",
          "inputSchema": {
            "properties": {
              "sku": {
                "description": "Product SKU",
                "type": "string"
              }
            },
            "required": [
              "sku"
            ],
            "type": "object"
          },
          "name": "get_price"
        }
      ]
    },
    "schema_version": "2026-04",
    "serverInfo": {
      "description": "Real-time product catalog and inventory across multi-tenant e-commerce stores via MCP. Each merchant connects their Shopify store via OAuth at agenticshelf.ai/console; AI agents query their live catalog using a per-tenant Firebase ID token.",
      "documentation": "https://www.agenticshelf.ai/console",
      "homepage": "https://www.agenticshelf.ai",
      "name": "Agentic Shelf \u2014 Live Inventory",
      "repository": "https://github.com/vboykoCTO/agentic-shelf",
      "vendor": "Agentic Shelf",
      "version": "0.1.0"
    },
    "tags": [
      "e-commerce",
      "shopify",
      "inventory",
      "shopping",
      "agent",
      "multi-tenant"
    ],
    "transport": {
      "endpoint": "https://api.agenticshelf.ai/mcp",
      "type": "streamable-http"
    }
  },
  "server_identifier": "ai.agenticshelf/mcp"
}

Known versions

Validation history

7 day score delta
n/a
30 day score delta
n/a
Recent healthy ratio
100%
Freshness
3.7h
TimestampStatusScoreLatencyTools
May 13, 2026 02:20:00 PM UTC Healthy 74.4 705.5 ms 5
May 13, 2026 02:19:09 AM UTC Healthy 74.8 597.5 ms 5
May 12, 2026 02:18:12 PM UTC Healthy 74.4 633.0 ms 5
May 12, 2026 02:17:42 AM UTC Healthy 70.7 553.8 ms 5

Validation timeline

ValidatedSummaryScoreProtocolAuth modeToolsHigh-risk toolsChanges
May 13, 2026 02:20:00 PM UTC Healthy 74.4 2025-03-26 public 5 1 none
May 13, 2026 02:19:09 AM UTC Healthy 74.8 2025-03-26 public 5 1 none
May 12, 2026 02:18:12 PM UTC Healthy 74.4 2025-03-26 public 5 1 none
May 12, 2026 02:17:42 AM UTC Healthy 70.7 2025-03-26 public 5 1 none

Recent validation runs

StartedStatusSummaryLatencyChecks
May 13, 2026 02:20:00 PM UTC Completed Healthy 705.5 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, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe
May 13, 2026 02:19:08 AM UTC Completed Healthy 597.5 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, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe
May 12, 2026 02:18:12 PM UTC Completed Healthy 633.0 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, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe
May 12, 2026 02:17:42 AM UTC Completed Healthy 553.8 ms action_safety_probe, advanced_capabilities_probe, connector_publishability_probe, connector_replay_probe, determinism_probe, initialize, interactive_flow_probe, oauth_authorization_server, oauth_protected_resource, official_registry_probe, openid_configuration, probe_noise_resilience, prompt_get, prompts_list, protocol_version_probe, provenance_divergence_probe, request_association_probe, resource_read, resources_list, server_card, session_resume_probe, step_up_auth_probe, tool_snapshot_probe, tools_list, transport_compliance_probe, utility_coverage_probe