rbj2000/mcp-crawl4ai-rag
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MCP Crawl4AI RAG is a database-agnostic server that integrates web crawling with Retrieval Augmented Generation (RAG) capabilities, supporting multiple vector database backends.
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.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client