hannesrudolph/mcp-ragdocs

3.6

research_and_data developer_tools knowledge_and_memory

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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 for documents through natural language query and return related fragments

list_sources

List all indexed document sources

extract_urls

Extract URLs from web pages and analyze

remove_documentation

Delete the specified document source from the system

list_queue

List all URLs in the document processing queue

run_queue

Process and index all URLs in the queue

clear_queue

Clear all URLs in 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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