A
license-
qualityB
maintenanceProvides structured, addressable access to a local markdown vault with heading-anchored fragments, BM25 search, and stable IDs for verifiable retrieval.
18
2
MIT
docs-rag-mcp
by shrish346
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. |
Related MCP server: Inkdex
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.
Maintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables semantic search over local markdown documentation by indexing files and ranking results using vector similarity and BM25 fusion.18Apache 2.0
- FlicenseAqualityCmaintenanceEnables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.2
- Alicense-qualityAmaintenanceServes local Markdown wikis as a read-only knowledge source with MCP tools for agent context retrieval.2Apache 2.0
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