mcp-ragdoc-fork

jumasheff/mcp-ragdoc-fork

3.1
research_and_data

If you are the rightful owner of mcp-ragdoc-fork and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

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.

Tools

Functions exposed to the LLM to take actions

search_documentation

Search stored documents through natural language query and return related fragments

list_sources

List all stored documents in the system

extract_urls

Extract and analyze all URLs from a given webpage

remove_documentation

Delete specific document sources from the system via URL

list_queue

List all URLs in the current document processing queue

run_queue

Process and index all URLs in queues

clear_queue

Delete all pending URLs from the document processing queue

Prompts

Interactive templates invoked by user choice

No prompts

Resources

Contextual data attached and managed by the client

No resources

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