crawl4ai-mcp-server
Provides a local MCP server that lets your LLM fetch and parse web pages efficiently, reducing token usage.
- •Your AI product needs up‑to‑date web content but you want to avoid sending full pages to the LLM.
- •You run a private LLM and must keep all data processing on‑premise for compliance.
- •You need a fast, reusable API for web‑scraping that returns clean text, HTML, or metadata.
curl -X POST http://localhost:8000/api/crawl \
-H "Content-Type: application/json" \
-d '{"url": "https://news.ycombinator.com/", "extract": "text", "max_depth": 1}'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/crawl4ai-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/crawl4ai-mcp-server/claude-skill -o ~/.claude/skills/crawl4ai-mcp-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Crawl4ai-mcp-server is a tiny Python project (~400 lines across 4 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 9 months ago, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2src/index.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
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/crawl4ai-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/crawl4ai-mcp-server/claude-skill -o ~/.claude/skills/crawl4ai-mcp-server/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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