Crawl MCP MCP Server

Crawl MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. A comprehensive Model Context Protocol (MCP) server that wraps the powerful crawl4ai library with advanced AI capabilities. Extract and analyze content from **any.

Setting it up

The server ships on PyPI as Installation, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once Crawl MCP is connected, these are the calls the assistant has available:

• English — docs/ directory
• crawl_url — Extract web page content with JavaScript support
• deep_crawl_site — Crawl multiple pages from a site with configurable depth
• crawl_url_with_fallback — Crawl with fallback strategies for anti-bot sites
• intelligent_extract — Extract specific data from web pages using LLM
• extract_entities — Extract entities (emails, phones, etc.) from web pages
• extract_structured_data — Extract structured data using CSS selectors or LLM
• extract_youtube_transcript — Extract YouTube transcripts with timestamps
• batch_extract_youtube_transcripts — Extract transcripts from multiple YouTube videos (max 3)
• get_youtube_video_info — Get YouTube video metadata and transcript availability
• extract_youtube_comments — Extract YouTube video comments with pagination
• search_google — Search Google with genre filtering

Configuration and credentials

You will need one environment variable: CRAWL4AI_LANG. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Python 3.11 or later (FastMCP requires Python 3.11+) Install system dependencies for Playwright: Ubuntu 24.04 LTS (Manual Required): ```bash

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Crawl MCP.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the crawl mcp mcp server does with a few real requests.

Choosing this one

Plenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Crawl MCP's toolset — English, crawl_url, deep_crawl_site and 11 more — is a fair guide to whether it matches your workflow. It is maintained by walksoda; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.