docs-rag-mcp
Searches local markdown files using TF-IDF retrieval and serves full documents as resources.
README
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 | search_docs |
query + k — returns ranked chunks with path, score, excerpt |
| Resource | doc://{path} |
Full markdown for a relative path (e.g. doc://rag-patterns.md) |
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 Inspector
Test
uv run fastmcp list server.py
uv run fastmcp call server.py search_docs --query "TF-IDF" --k 3
Add 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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