mcp-ragdocs
mcp-ragdocs is an MCP server, listed under model apis. It reaches openai and qdrant. It needs OPENAI_API_KEY and QDRANT_API_KEY to authenticate. Its repository has 265 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.
This implementation provides tools for retrieving and processing documentation through vector search, connecting to an MCP server to enable AI assistants to augment their responses with relevant documentation context.
Install
MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. mcp-ragdocs’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.
What it reaches, and what it needs
Maintenance
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.
What mcp-ragdocs can do
7 tools documented in its README. An AI client calls these by name.
search_documentation- Search through stored documentation using natural language queries. Returns matching excerpts with context, ranked by relevance.
list_sources- No description in the README.
extract_urls- Extract and analyze all URLs from a given web page. This tool crawls the specified webpage, identifies all hyperlinks, and optionally adds them to the processing queue.
remove_documentation- Remove specific documentation sources from the system by their URLs. The removal is permanent and will affect future search results.
list_queue- List all URLs currently waiting in the documentation processing queue. Shows pending documentation sources that will be processed when run_queue is called. Use this to monitor queue status, verify URL
run_queue- Process and index all URLs currently in the documentation queue. Each URL is processed sequentially, with proper error handling and retry logic. Progress updates are provided as processing occurs. Lon
clear_queue- Remove all pending URLs from the documentation processing queue. Use this to reset the queue when you want to start fresh, remove unwanted URLs, or cancel pending processing. This operation is immedia
Read from the README; names are kept only if the README contains them.
mcp-ragdocs compared with similar servers
| Server | Reaches | Needs | Stars | Last update | Licence |
|---|---|---|---|---|---|
| mcp-ragdocs (this page) | openai, qdrant | OPENAI_API_KEY, QDRANT_API_KEY | 265 | 2025-07-18 | MIT |
| mcp-qdrant-memory | openai, qdrant(2 shared) | OPENAI_API_KEY, QDRANT_API_KEY | 24 | 2025-03-02 | — |
| paperbanana | atlascloud, google, openai(1 shared) | ATLASCLOUD_API_KEY, GOOGLE_API_KEY, OPENAI_API_KEY | 2,412 | 2026-09-17 | MIT |
| ms-365-mcp-server | ms365, openai(1 shared) | MS365_MCP_ATTACHMENT_URL_KEY, MS365_MCP_CLIENT_SECRET, MS365_MCP_OAUTH_TOKEN, OPENAI_API_KEY | 1,068 | 2026-10-23 | MIT |
| just-prompt | anthropic, deepseek, gemini, groq, openai(1 shared) | ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, OPENAI_API_KEY | 739 | 2025-08-10 | — |
| flama | anthropic, openai(1 shared) | None listed | 304 | 2026-10-13 | Apache-2.0 |
Ranked by services in common with mcp-ragdocs, then by stars. Figures are from each repository when we last read it.
Common questions about mcp-ragdocs
- What does mcp-ragdocs do?
- This implementation provides tools for retrieving and processing documentation through vector search, connecting to an MCP server to enable AI assistants to augment their responses with relevant documentation context.
- How do I install mcp-ragdocs?
- Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/hannesrudolph/mcp-ragdocs
- What does mcp-ragdocs connect to, and what does it need?
- It reaches openai and qdrant. The credentials we found in its source are OPENAI_API_KEY and QDRANT_API_KEY.
- Is mcp-ragdocs official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 265 GitHub stars and its state in our directory is stale. Its last commit we recorded was on 2025-07-18.
- What licence does mcp-ragdocs use?
- The repository declares the MIT licence.
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