mcp-ragdoc-fork
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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.
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
