Firecrawl MCP Server

What is Firecrawl MCP Server?

The Firecrawl MCP Server is the official Model Context Protocol (MCP) implementation from Firecrawl. It integrates Firecrawl's robust web data platform directly into MCP-compatible AI agents and tools, enabling them to search the web, scrape any URL, crawl sites, extract structured data, and perform interactive browser actions.

Firecrawl turns complex, dynamic websites (with JavaScript rendering and anti-bot protections) into clean, LLM-friendly Markdown or structured JSON — all accessible via standardized MCP tools.

Key Features

• Web Search & Scraping: Powerful search and single-page scraping with JavaScript rendering.
• Site Crawling & Mapping: Discover URLs, crawl entire sites, and generate sitemaps.
• Structured Extraction: Convert web content into clean JSON using custom schemas or AI-powered extraction.
• Batch Processing: Scrape multiple URLs efficiently.
• Cloud Browser Sessions: Support for interactive automation, logins, button clicks, and dynamic actions (powered by FIRE-1 model).
• Autonomous Research Agent: Built-in capabilities for deep web research.
• Streamable HTTP & SSE Support: Real-time streaming responses and efficient communication.
• Remote & Local Deployment: Use the hosted endpoint or run locally/self-hosted.

How It Works

1. Obtain a Firecrawl API key from firecrawl.dev.
2. Run the MCP server with one command:

   env FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcp
   

3. Add the server to your MCP client configuration (Claude Desktop, Cursor, Windsurf, etc.).
4. Instruct your AI agent naturally — e.g., "Scrape the latest pricing from example.com and extract product details" or "Research current AI news and summarize key points."

The server automatically exposes discoverable tools that the AI can call securely.

Use Cases

• AI Coding Assistants: Pull live documentation, GitHub issues, or API references directly into Cursor or Claude while coding.
• Research Agents: Perform deep web research, compare products, or gather competitive intelligence.
• Content Generation: Scrape and structure data for articles, reports, or social media.
• Data Extraction Pipelines: Turn any website into structured JSON for databases or analysis.
• Interactive Automation: Handle logins, forms, and dynamic sites via cloud browser sessions.
• Multi-Agent Workflows: Combine with other MCP servers for comprehensive automation (e.g., web data + CRM + notifications).

Getting Started

• Quick Start (npx): npx -y firecrawl-mcp (with your API key in env).
• Global Install: npm install -g firecrawl-mcp.
• Hosted Option: Use https://mcp.firecrawl.dev/{FIRECRAWL_API_KEY}/v2/mcp.
• Claude Desktop / Cursor Setup: Add the server command and API key to your MCP settings JSON file.

Full documentation and configuration examples are available at docs.firecrawl.dev/mcp-server.

Benefits

• Overcomes Knowledge Cutoffs: Gives AI agents real-time, live web access.
• Handles Complex Sites: JavaScript rendering, anti-bot bypass, and dynamic content out of the box.
• Agent-Native: Tools are automatically discoverable and structured for tool-calling LLMs.
• Scalable & Secure: Cloud-hosted or self-hosted options with proper API key scoping.
• Popular & Trusted: Thousands of stars on GitHub, widely used in Cursor, Claude, and other MCP ecosystems.

The Firecrawl MCP Server is one of the most essential MCP servers, transforming any AI coding or research agent into a powerful web-enabled intelligence tool.