mcp-crawl4ai-rag
Turns any public webpage into a searchable RAG knowledge base that you can query with natural‑language questions.
- •You need up‑to‑date information from a competitor’s site without manually copying text.
- •Your AI assistant must answer questions about a product’s documentation that lives on a public URL.
- •You want to quickly prototype a chatbot that pulls facts from a handful of web pages.
python -m mcp_crawl4ai_rag.run --url https://example.com/roadmap --question "When is the next major release planned?"
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/mcp-crawl4ai-rag && curl -fsSL https://workflowstacks.com/api/skills/mcp-crawl4ai-rag/claude-skill -o ~/.claude/skills/mcp-crawl4ai-rag/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Works after you add credentials — the setup agent will ask you for them.
mkdir -p ~/.claude/skills/mcp-crawl4ai-rag && curl -fsSL https://workflowstacks.com/api/skills/mcp-crawl4ai-rag/claude-skill -o ~/.claude/skills/mcp-crawl4ai-rag/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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