docs-rag-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@docs-rag-mcpsearch for documentation about TF-IDF indexing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
docs-rag-mcp
MCP server that searches a local markdown corpus with TF-IDF retrieval and serves full documents as resources.
Architecture: docs/*.md → chunk + TF-IDF index (rag.py) → FastMCP exposes search_docs tool and doc://{path} resource (server.py).
MCP surface
Kind | Name | Description |
Tool |
|
|
Resource |
| Full markdown for a relative path (e.g. |
Run
uv sync
uv run fastmcp run server.py # stdio (Claude Desktop, Cursor)
uv run fastmcp run server.py -t http -p 8000 # HTTP for MCP InspectorTest
uv run fastmcp list server.py
uv run fastmcp call server.py search_docs --query "TF-IDF" --k 3Add your own notes under docs/ and restart the server (or re-run) to re-index.
Claude Desktop
See docs/claude-desktop-config.md for claude_desktop_config.json snippet. Use an absolute --directory path.
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