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๐Ÿค–๐Ÿง ๐Ÿ”—mcpSource: opendocs-core

MCP Integration Overview

Learn how to connect AI agents to OpenDocs using the Model Context Protocol.

1 min read162 words

MCP Integration Overview #

OpenDocs fully supports the Model Context Protocol (MCP), allowing AI agents to interact with your documentation directly.

What is MCP? #

MCP is a standard protocol for AI agents to discover and use tools and resources. OpenDocs implements MCP as a JSON-RPC 2.0 endpoint.

Endpoint #

text
POST /api/mcp
Content-Type: application/json

Available Tools #

listdocuments #

List and search documentation pages.

json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "listdocuments",
    "arguments": {
      "query": "getting started",
      "limit": 10
    }
  }
}

getdocument #

Get a specific document by slug.

createdocument #

Create a new documentation page.

searchdocuments #

Full-text search across all documentation.

submitcontent #

Submit content for review from external sources.

ingesturl #

Fetch and ingest content from a URL.

Resources #

MCP resources provide read-only access to documentation:

  • docs://all - All published documents
  • docs://{slug} - Specific document by slug
  • docs://categories - All categories
  • docs://recent - Recently published documents
Source Attribution
OpenDocs keeps source fields explicit. Unknown values are labeled instead of invented.

Canonical source

Unknown

Original source

Unknown

Source domain

opendocs-core

Author

Unknown

Publisher

opendocs-core

License / usage

Unknown. Review the original source terms before republishing beyond public-safe excerpts.

Score
Version docs-phase3-2026-05-20
73

Overall quality score, confidence 71%

Source credibility50
Freshness92
Completeness69
Extraction quality75
Attribution confidence50
Readability
difficult | grade 11.7 | format 83

10 sentences, 11 headings, 4 list items.

Keep source attribution visible in the rendered document.

Search Appearance
canonical document page
OpenDocs keeps inspected URLs, canonical URLs, snippets, and rich-result signals explicit; Search Console metrics are not treated as visits.
Social Card
MCP Integration Overview
Learn how to connect AI agents to OpenDocs using the Model Context Protocol.
Duplicate State
No duplicate is asserted on this page without a matching canonical URL or content hash cluster.
Trace
docs-score-eac08c3964ab62e501f9d074
Export
Use public export endpoints for Markdown/JSON. Protected publishing still requires PLATPHORM_API_KEY.