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firecrawl

Firecrawl

    Server Summary

    • Scrape web content

    • Crawl entire websites

    • Extract structured data

    • Convert HTML to markdown

Firecrawl MCP Server

A Model Context Protocol (MCP) server that integrates Firecrawl's powerful web scraping and crawling capabilities directly into your AI workflows. This server enables you to extract clean, structured content from websites, crawl entire domains, and retrieve web data in formats optimized for AI consumption.

What is Firecrawl MCP Server?

The Firecrawl MCP Server bridges the gap between AI assistants and web content by providing seamless access to Firecrawl's web scraping infrastructure. Instead of dealing with raw HTML, JavaScript rendering issues, or complex parsing logic, you get clean, markdown-formatted content and structured data that's ready to use.

Key Features

Web Scraping

  • Extract clean content from any web page
  • Automatically handles JavaScript-rendered content
  • Returns data in markdown format, perfect for AI processing
  • Removes clutter, ads, and navigation elements to focus on main content

Website Crawling

  • Crawl entire websites or specific sections
  • Follow links systematically across multiple pages
  • Control crawling depth and scope
  • Gather comprehensive data from entire domains

Content Extraction

  • Convert web pages to clean, readable markdown
  • Extract structured data and metadata
  • Preserve important formatting and hierarchy
  • Filter and process content based on your needs

Use Cases

The Firecrawl MCP Server is ideal for:

  • Research and Analysis: Gather information from multiple web sources quickly and efficiently
  • Content Aggregation: Collect and process content from various websites for summarization or comparison
  • Documentation Access: Pull in external documentation and knowledge bases into your AI context
  • Competitive Intelligence: Monitor and analyze competitor websites and content
  • Data Collection: Build datasets from web sources for training or analysis

How It Works

Once connected, your AI assistant can request web content through simple commands. The server handles all the complexity of web scraping, including:

  • Managing HTTP requests and responses
  • Rendering JavaScript-heavy websites
  • Parsing HTML and extracting relevant content
  • Converting content to AI-friendly formats
  • Handling rate limiting and retries

You simply ask for the content you need, and the server delivers it in a clean, structured format that's immediately usable in your AI workflows.