mcp-ragdocs

mcp-serverNo score yet

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

GitHub ↗

Stars

265

Δ stars 7d

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Δ stars 30d

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Forks

25

Contributors

4

npm DL / wk

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PyPI DL / wk

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Language

TypeScript

Last push

2025-07-18

About mcp-ragdocs

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Search through stored documentation using natural language queries. Returns matching excerpts with context, ranked by relevance. List all documentation sources currently stored in the system. Returns a comprehensive list of all indexed documentation including source URLs, titles, and last update times. Use this to understand what documentation…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is mcp-ragdocs still maintained?
Activity is low: the last push was on 2025-07-18 (335 days before our latest snapshot).
What are the best mcp-ragdocs alternatives?
Closest by category and size in our data: com.postman/postman-mcp-server, public-ui/kolibri, MCPProxy — full list with live signals above.

Topics

RAG (Retrieval-Augmented Generation)Vector Databasesmcpllmmcp-serversragvector-database

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Tracked since 2026-06-17 · data as of 2026-06-18 · 1 open issues ·