mcp-crawl4ai-rag
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Crawl4AI RAG MCP Server is a powerful implementation of the Model Context Protocol (MCP) integrated with Crawl4AI and Supabase, providing AI agents and AI coding assistants with advanced web crawling and RAG capabilities.
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.
check_ai_script_hallucinations
Analyze Python scripts for AI hallucinations by validating imports, method calls, and class usage.
query_knowledge_graph
Explore and query the Neo4j knowledge graph.
