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Crawl4AI MCP Server

by Vistiqx

An MCP Server for intelligent web crawling and AI-powered content analysis. This server provides a simple API for crawling websites and processing the content using Claude AI models.

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What is Crawl4AI MCP Server?

Crawl4AI MCP Server is designed for targeted, in-depth analysis of specific web content. It offers deeper insights into content you specifically want to analyze, bridging the gap between simple web scraping and sophisticated AI analysis.

How to use Crawl4AI MCP Server?

To use Crawl4AI, clone the repository, install dependencies (npm install), set your Anthropic API key in a .env file, and start the server (npm start). Use the API endpoints (e.g., POST /api/crawl) with a JSON payload specifying the URL, depth, selector, and AI processing task.

Key features of Crawl4AI MCP Server

  • Web crawling with customizable depth and content selectors

  • Respects robots.txt directives

  • Content extraction and processing

  • AI-powered analysis of crawled content using Claude models

  • Simple REST API

  • Configurable via command line or environment variables

  • Detailed logging

  • Customized AI prompting

  • Content transformation

Use cases of Crawl4AI MCP Server

  • Researchers extracting structured information from specific websites

  • Content creators analyzing competitor content or industry trends

  • Data analysts processing web data for business intelligence

  • Developers building applications requiring web content analysis

  • Digital marketers analyzing industry websites, blogs, or competitor content

  • Business analysts gathering industry-specific information from multiple sources

  • Knowledge workers synthesizing information from specific web domains

  • Automated tracking of changes on important websites over time

FAQ from Crawl4AI MCP Server

What AI models are supported?

The server uses Claude models via the Anthropic API.

Can I control the crawling depth?

Yes, you can specify the crawling depth in the API request.

How do I configure the server?

You can configure the server using environment variables or command-line options.

What kind of AI processing tasks are available?

The server supports summarizing, extracting, analyzing, and question generation.

Is this a functional MCP?

No, this is not a functional MCP. It was a learning tool.