Official Firecrawl MCP Server – integrates Firecrawl’s web-scraping, crawling and research abilities with the Model Context Protocol so they can be used from Cursor, Claude Desktop, VS Code and any other MCP-compatible LLM client.
https://github.com/mendableai/firecrawl-mcp-serverYour AI assistant can't browse the web or scrape content. So you're stuck manually copying competitor pricing pages, documentation snippets, and research data into Claude or Cursor. There's a better way.
The Firecrawl MCP Server bridges this gap by giving your AI tools direct web scraping capabilities. Instead of being limited to their training data, your AI can now fetch live content, extract structured data, and conduct multi-source research on demand.
You've hit these walls before:
Meanwhile, your AI sits there waiting for you to manually feed it information it could easily gather itself.
Your AI assistant becomes genuinely autonomous for web-related tasks. Ask it to research competitors, extract structured data, or analyze documentation - and it handles the entire process without you touching a browser.
Before: "Let me grab that pricing data for you..." opens 10 tabs, copies text, pastes into chat
After: "Compare pricing strategies across these 5 SaaS competitors" AI scrapes all sites, extracts data, delivers analysis
You: "Research how top 5 React component libraries handle theming"
AI: *scrapes docs, compares approaches, summarizes findings*
Instead of manually browsing Material-UI, Chakra, Ant Design docs yourself.
You: "What's the current Next.js 14 syntax for server actions?"
AI: *fetches latest docs, provides current examples*
No more guessing if the patterns you remember are still current.
You: "Extract contact info from these 20 potential client websites"
AI: *processes all sites, returns structured JSON with emails, phones, addresses*
Hours of manual work reduced to a single prompt.
You: "Analyze the tech stack and performance of competitor.com"
AI: *inspects source, checks frameworks, tests load times, reports findings*
Perfect for acquisition research or competitive analysis.
Cursor (30 seconds):
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "your-key-here"
}
}
}
}
Claude Desktop uses identical config. VS Code has one-click install buttons.
The server handles all the complexity - rate limiting, retries, credit monitoring, error handling. You just get reliable web scraping capabilities in your existing AI workflow.
This isn't a hackathon project. Firecrawl MCP comes from the team behind Firecrawl (the web scraping API that handles billions of pages). It includes:
3,400+ stars and active development mean you're not adopting abandoned tooling.
Once your AI can scrape web content, entire categories of tasks disappear from your TODO list:
You stop being a human web browser for your AI assistant. Instead, you focus on the analysis and decision-making while your AI handles the data gathering.
Your AI was already smart enough to process and analyze web content. Now it can actually get that content without you playing middleman.
Get your Firecrawl API key, add the MCP server config, and watch your AI assistant become genuinely useful for web-related tasks.