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Crawl4AI MCP Server

by BjornMelin

High-performance MCP Server for Crawl4AI, enabling AI assistants to access web scraping, crawling, and deep research via Model Context Protocol. It is designed to be faster and more efficient than FireCrawl.

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What is Crawl4AI MCP Server?

This project implements a custom Model Context Protocol (MCP) Server that integrates with Crawl4AI, an open-source web scraping and crawling library. The server is deployed as a remote MCP server on CloudFlare Workers, allowing AI assistants like Claude to access Crawl4AI's powerful web scraping capabilities.

How to use Crawl4AI MCP Server?

To use this server, you need to deploy it to CloudFlare Workers after configuring the necessary environment variables and KV namespaces. Once deployed, you can connect to it from an MCP client like Claude Desktop by providing the CloudFlare Workers URL. The server offers tools like crawl, getCrawl, listCrawls, search, and extract which can be used by the AI assistant to perform web scraping and data extraction tasks.

Key features of Crawl4AI MCP Server

  • Single Webpage Scraping

  • Web Crawling with configurable depth

  • Structured Data Extraction using CSS selectors or LLMs

  • Seamless MCP Integration

Use cases of Crawl4AI MCP Server

  • Enabling AI assistants to perform web research

  • Extracting data from websites for analysis

  • Crawling websites to build datasets

  • Integrating web scraping capabilities into AI workflows

FAQ from Crawl4AI MCP Server

What is Crawl4AI?

Crawl4AI is an open-source web scraping and crawling library.

What is MCP?

MCP stands for Model Context Protocol, a protocol that allows AI assistants to access external tools.

Where is the server deployed?

The server is deployed as a remote MCP server on CloudFlare Workers.

What authentication methods are supported?

The server supports OAuth authentication and API key (Bearer token) authentication.

What are the available tools?

The available tools are crawl, getCrawl, listCrawls, search, and extract.