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Crawl websites, build a vector knowledge base, and run semantic search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Crawl4AI RAG MCP Server" yet — see the docs or source repo.
Crawl all public pages of this product documentation site, extract the main content, and store it in a Supabase vector database with metadata for title, URL, and last updated time.
A summary of crawl and ingestion results, including page counts, failed pages, and a searchable knowledge base.
Search the existing knowledge base for “common causes of API authentication failures,” return the 5 most relevant passages, and include source page links with a brief summary.
Relevant content snippets, source links, and a concise answer generated from the retrieved results.
Crawl the product, pricing, and help-center pages of these competitor websites, build a searchable knowledge base, and answer: “What are the differences in their automation features?”
A competitor knowledge base plus a comparative analysis synthesized from multi-site retrieval results.
Crawl websites and power flexible RAG-based content retrieval across AI stacks.
Scrape pages and crawl websites automatically for structured content collection.
Crawl websites, extract dynamic content, and save structured Markdown files.
Orchestrate vector search, graph queries, and web crawling for agentic RAG workflows.
Run self-hosted web search and reliable scraping for AI workflows.
Scrape, clean, chunk, and index website content for full-text search.