Developers & MCP
Build powerful integrations with Model Context Protocol support
Give your AI coding assistant the ability to scrape, crawl, and search the web in real time. Firecrawl’s MCP server connects to Claude Desktop, Cursor, and other Model Context Protocol clients so your assistant can pull live documentation, discover site structures, and extract structured data on demand.
Start with a Template
Get started with MCP in minutes. Follow our setup guide to integrate Firecrawl into Claude Desktop or Cursor.
How It Works
Integrate Firecrawl directly into your AI coding workflow through Model Context Protocol. Once configured, your AI assistant gains access to a set of web scraping tools it can call on your behalf:
| Tool | What it does |
|---|---|
| Scrape | Extract content or structured data from a single URL |
| Batch Scrape | Extract content from multiple known URLs in parallel |
| Map | Discover all indexed URLs on a website |
| Crawl | Walk a site section and extract content from every page |
| Search | Search the web and optionally extract content from results |
Your assistant picks the right tool automatically. Ask it to “read the Next.js docs” and it will scrape. Ask it to “find all blog posts on example.com” and it will map then batch scrape.
Why Developers Choose Firecrawl MCP
Build Smarter AI Assistants
Give your AI real-time access to documentation, APIs, and web resources. Reduce outdated information and hallucinations by providing your assistant with the latest data.
Zero Infrastructure Required
No servers to manage, no crawlers to maintain. Just configure once and your AI assistant can access websites instantly through the Model Context Protocol.
Customer Stories
FAQs
Related Use Cases
- AI Platforms - Build AI-powered dev tools
- Deep Research - Complex technical research
- Content Generation - Generate documentation