mcp-ragdoc-fork

mcp-ragdoc-fork

0
research_and_data

The RAG Documentation MCP Server provides advanced tools for retrieving and processing documentation using vector search, facilitating AI assistants to enhance their responses with relevant information. It supports multiple sources and offers features like semantic search and real-time augmentation for large language models.

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