MCP Integration Overview
Learn how to connect AI agents to OpenDocs using the Model Context Protocol.
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 #
POST /api/mcp
Content-Type: application/json
Available Tools #
listdocuments #
List and search documentation pages.{
"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 documentsdocs://{slug}- Specific document by slugdocs://categories- All categoriesdocs://recent- Recently published documents
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.
Overall quality score, confidence 71%
10 sentences, 11 headings, 4 list items.
Keep source attribution visible in the rendered document.
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