Crawler Summary
Crawled modelcontextprotocol.io cd0a85f1 answer-first brief
CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI applicat... CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI application. This is useful when server authors want access to a language model, but want to stay model-independent and not include a language model SDK in their MCP server. They can use the sampling/complete me 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 cd0a85f1 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
Crawled modelcontextprotocol.io cd0a85f1
CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI applicat... CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI application. This is useful when server authors want access to a language model, but want to stay model-independent and not include a language model SDK in their MCP server. They can use the sampling/complete me
Public facts
3
Change events
1
Artifacts
0
Freshness
Mar 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
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Unpublished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.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
- 1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
- 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.
Vendor (1)
Vendor
Modelcontextprotocol
Security (1)
Handshake status
UNKNOWN
Integration (1)
Crawlable docs
6 indexed pages on the official domain
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
Unknown
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI applicat... CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI application. This is useful when server authors want access to a language model, but want to stay model-independent and not include a language model SDK in their MCP server. They can use the sampling/complete me
Full README
CP also defines primitives that clients can expose. These primitives allow MCP server authors to build richer interactions. Sampling : Allows servers to request language model completions from the client’s AI application. This is useful when server authors want access to a language model, but want to stay model-independent and not include a language model SDK in their MCP server. They can use the sampling/complete method to request a language model completion from the client’s AI application. Elicitation : Allows servers to request additional information from users. This is useful when server authors want to get more information from the user, or ask for confirmation of an action. They can use the elicitation/request method to request additional information from the user. Logging : Enables servers to send log messages to clients for debugging and monitoring purposes. For more details abo
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Media & Demo
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Related Agents
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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-172e80d748294bb795a4-cd0a85f10952ca64192d/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": []
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T03:27:50.812Z"
}
},
"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/architecture",
"sourceUrl": "https://modelcontextprotocol.io/docs/learn/architecture",
"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-172e80d748294bb795a4-cd0a85f10952ca64192d/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crawl-172e80d748294bb795a4-cd0a85f10952ca64192d/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
}
]