Overview
What is crawl4ai-mcp
Crawl4AI-MCP is a Model Context Protocol (MCP) server that integrates Crawl4AI with Cursor AI, designed to provide web scraping and crawling capabilities for large language models (LLMs) in Cursor Composer's agent mode.
How to Use
To use Crawl4AI-MCP, clone the repository and install the dependencies using either UV or pip. Start the MCP server by running the command 'uv run python crawler.py'.
Key Features
Key features include single page scraping with metadata extraction, multi-page crawling with configurable depth and limits, support for Markdown and JSON output formats, a simple command-line interface, and easy integration with Cursor AI.
Where to Use
Crawl4AI-MCP can be used in various fields such as data analysis, content generation, web research, and any application requiring automated data extraction from websites.
Use Cases
Use cases for Crawl4AI-MCP include scraping product information from e-commerce sites, gathering news articles for sentiment analysis, extracting data for academic research, and automating content updates for blogs.