firecrawl/firecrawl-mcp-server
by Various
π₯ Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
MCP
firecrawl/firecrawl-mcp-server
Added 13 July 2026
Overview
The Firecrawl MCP Server is an open-source server that integrates web scraping and search capabilities into LLM clients like Cursor and Claude. It uses the Model Context Protocol (MCP) to allow LLMs to crawl and extract data from websites on demand.
Best for
Best for
Developers who want to add web search and scraping directly into their LLM-powered workflows or agents
Use cases
- Enabling LLMs to scrape and summarize web pages in real time
- Feeding structured web data into AI coding assistants for context
- Building autonomous agents that search and extract content from the web
How to use
Install
env FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcpTested with
Claude Desktop, Cursor, Windsurf, Continue, VS Code
Example client config
{\n "mcpServers": {\n "firecrawl-mcp": {\n "command": "npx",\n "args": ["-y", "firecrawl-mcp"],\n "env": {\n "FIRECRAWL_API_KEY": "YOUR-API-KEY"\n }\n }\n }\n}Notes
The Firecrawl MCP Server is an open-source server that integrates web scraping and search capabilities into LLM clients like Cursor and Claude. It uses the Model Context Protocol (MCP) to allow LLMs to crawl and extract data from websites on demand.
6,933 stars on GitHub. Last updated 2026-07-12. Licensed MIT.
Use cases
- Enabling LLMs to scrape and summarize web pages in real time
- Feeding structured web data into AI coding assistants for context
- Building autonomous agents that search and extract content from the web
Pros
- Well-documented and popular with 6933 GitHub stars
- Works with multiple LLM clients out of the box
- Written in JavaScript for broad compatibility
Cons
- Requires running and maintaining a server instance
- Web scraping may violate some websitesβ terms of service
- Performance depends on network latency and target site reliability
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Well-documented and popular with 6933 GitHub stars
- Works with multiple LLM clients out of the box
- Written in JavaScript for broad compatibility
Cons
- Requires running and maintaining a server instance
- Web scraping may violate some websites' terms of service
- Performance depends on network latency and target site reliability
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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