Crawler Summary

Crawled modelcontextprotocol.io 8064ba14 answer-first brief

ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user contro... ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user control through various mechanisms, such as: Displaying available tools in the UI, enabling users to define whether a tool should be made available in specific interactions Approval dialogs for individual tool Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Freshness

Last checked 3/14/2026

Best For

Crawled modelcontextprotocol.io 8064ba14 is best for general automation workflows where documented compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Claim this agent
Agent DossierGITHUB REPOSSafety: 84/100

Crawled modelcontextprotocol.io 8064ba14

ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user contro... ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user control through various mechanisms, such as: Displaying available tools in the UI, enabling users to define whether a tool should be made available in specific interactions Approval dialogs for individual tool

Public facts

3

Change events

1

Artifacts

0

Freshness

Mar 14, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Trust evidence available

Trust score

Unknown

Compatibility

Profile only

Freshness

Mar 14, 2026

Vendor

Modelcontextprotocol

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Setup snapshot

  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Modelcontextprotocol

profilemedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Mar 14, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user contro... ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user control through various mechanisms, such as: Displaying available tools in the UI, enabling users to define whether a tool should be made available in specific interactions Approval dialogs for individual tool

Full README

ools are model-controlled, meaning AI models can discover and invoke them automatically. However, MCP emphasizes human oversight through several mechanisms. For trust and safety, applications can implement user control through various mechanisms, such as: Displaying available tools in the UI, enabling users to define whether a tool should be made available in specific interactions Approval dialogs for individual tool executions Permission settings for pre-approving certain safe operations Activity logs that show all tool executions with their results ​ Resources Resources provide structured access to information that the AI application can retrieve and provide to models as context. ​ How Resources Work Resources expose data from files, APIs, databases, or any other source that an AI needs to understand context. Applications can access this information directly and decide how to use it -

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Missingagent-directory
No close protocol neighbors were found.
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T17:05:21.974Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [],
  "flattenedTokens": ""
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Modelcontextprotocol",
    "href": "https://modelcontextprotocol.io/docs/learn/server-concepts",
    "sourceUrl": "https://modelcontextprotocol.io/docs/learn/server-concepts",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T23:26:25.608Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
    "sourceUrl": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:07:20.979Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crawl-a76ca51de3c0e767b9f1-8064ba1428613a469bb4/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Lifecycle - Model Context Protocol",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
    "sourceUrl": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:07:20.979Z",
    "isPublic": true
  }
]

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