Using Firecrawl MCP in Cursor

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A comprehensive guide on integrating and using Firecrawl MCP within Cursor IDE, covering its features, configuration, and practical usage examples.

Features

Let’s first discuss what Firecrawl MCP can do.

  • Supports scraping, crawling, searching, extraction, deep research, and batch scraping
  • Web scraping with JS rendering
  • URL discovery and crawling
  • Web search with content extraction
  • Automatic retries with exponential backoff
  • Efficient batch processing with built-in rate limiting
  • Credit usage monitoring for cloud API
  • Comprehensive logging system
  • Support for both cloud and self-hosted FireCrawl instances
  • Mobile/desktop viewport support
  • Smart content filtering with tag inclusion/exclusion

Configuration

Configure the Firecrawl MCP Server startup command in Cursor.

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env FIRECRAWL_API_KEY=your-api-key npx -y firecrawl-mcp

# Windows
cmd /c "set FIRECRAWL_API_KEY=your-api-key && npx -y firecrawl-mcp

I only have a Mac, so Windows hasn’t been tested.

Available Tools

https://static.1991421.cn/2025/2025-03-09-100455.jpeg

As you can see, Cursor has integrated all Firecrawl tools. Therefore, you only need to use natural language to communicate with Cursor and access all Firecrawl tools.

Results

https://static.1991421.cn/2025/2025-03-09-100745.jpeg

Note: The more detailed the prompt, the more accurately Firecrawl tools can be called and the more accurate information you can get. I just did some simple testing here.

At the end

The AI crawler Firecrawl is good so far. If you need to crawl web page data, consider using it.