alexandre-axioma/mcp-rag-server
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Crawl4AI RAG MCP Server is a powerful implementation of the Model Context Protocol (MCP) integrated with Crawl4AI and Supabase, designed to provide AI agents and AI coding assistants with advanced web crawling and RAG capabilities.
Tools
Functions exposed to the LLM to take actions
crawl_single_page
Quickly crawl a single web page and store its content in the vector database.
smart_crawl_url
Intelligently crawl a full website based on the type of URL provided.
get_available_sources
Get a list of all available sources (domains) in the database.
perform_rag_query
Search for relevant content using semantic search with optional source filtering.
search_code_examples
Search specifically for code examples and their summaries from crawled documentation.
parse_github_repository
Parse a GitHub repository into a Neo4j knowledge graph for hallucination detection.
check_ai_script_hallucinations
Analyze Python scripts for AI hallucinations by validating against the knowledge graph.
query_knowledge_graph
Explore and query the Neo4j knowledge graph with various commands.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client