About
Firecrawl is a web scraping and crawling platform that extracts content from websites with JavaScript rendering support and AI-powered structured data extraction capabilities. Key features of Firecrawl: - Scrape single pages or crawl entire websites with automatic URL discovery - Render JavaScript-heavy pages for dynamic content extraction - Batch process URLs with automatic rate limiting and exponential backoff retries - Perform deep research using LLM-powered structured data extraction - Execute web searches with integrated content extraction - Filter extracted content with smart tag inclusion and exclusion rules - Simulate mobile and desktop viewports for testing responsive sites - Monitor API credit usage and handle rate limits automatically - Deploy with cloud-hosted or self-managed instances
Tools 10
firecrawl_scrapeScrape a single webpage with advanced options for content extraction. Supports various formats including markdown, HTML, and screenshots. Can execute custom actions like clicking or scrolling before scraping.
firecrawl_mapDiscover URLs from a starting point. Can use both sitemap.xml and HTML link discovery.
firecrawl_crawlStart an asynchronous crawl of multiple pages from a starting URL. Supports depth control, path filtering, and webhook notifications.
firecrawl_batch_scrapeScrape multiple URLs in batch mode. Returns a job ID that can be used to check status.
firecrawl_check_batch_statusCheck the status of a batch scraping job.
firecrawl_check_crawl_statusCheck the status of a crawl job.
firecrawl_searchSearch and retrieve content from web pages with optional scraping. Returns SERP results by default (url, title, description) or full page content when scrapeOptions are provided.
firecrawl_extractExtract structured information from web pages using LLM. Supports both cloud AI and self-hosted LLM extraction.
firecrawl_deep_researchConduct deep research on a query using web crawling, search, and AI analysis.
firecrawl_generate_llmstxtGenerate standardized LLMs.txt file for a given URL, which provides context about how LLMs should interact with the website.
README
Firecrawl MCP Server
A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.
> Big thanks to @vrknetha, @cawstudios for the initial implementation! > > You can also play around with our MCP Server on MCP.so's playground. Thanks to MCP.so for hosting and @gstarwd for integrating our server.
Features
Installation
Running with npx
env FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcp
Manual Installation
npm install -g firecrawl-mcp
Running on Cursor
Configuring Cursor 🖥️ Note: Requires Cursor version 0.45.6+ For the most up-to-date configuration instructions, please refer to the official Cursor documentation on configuring MCP servers: Cursor MCP Server Configuration Guide
To configure Firecrawl MCP in Cursor v0.45.6
1. Open Cursor Settings
2. Go to Features > MCP Servers
3. Click "+ Add New MCP Server"
4. Enter the following:
- Name: "firecrawl-mcp" (or your preferred name)
- Type: "command"
- Command: env FIRECRAWL_API_KEY=your-api-key npx -y firecrawl-mcp
To configure Firecrawl MCP in Cursor v0.48.6
1. Open Cursor Settings 2. Go to Features > MCP Servers 3. Click "+ Add new global MCP server" 4. Enter the following code:
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "YOUR-API-KEY"
}
}
}
}
> If you are using Windows and are running into issues, try cmd /c "set FIRECRAWL_API_KEY=your-api-key && npx -y firecrawl-mcp"
Replace your-api-key with your Firecrawl API key. If you don't have one yet, you can create an account and get it from https://www.firecrawl.dev/app/api-keys
After adding, refresh the MCP server list to see the new tools. The Composer Agent will automatically use Firecrawl MCP when appropriate, but you can explicitly request it by describing your web scraping needs. Access the Composer via Command+L (Mac), select "Agent" next to the submit button, and enter your query.
Running on Windsurf
Add this to your ./codeium/windsurf/model_config.json:
{
"mcpServers": {
"mcp-server-firecrawl": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "YOUR_API_KEY"
}
}
}
}
Installing via Smithery (Legacy)
To install Firecrawl for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @mendableai/mcp-server-firecrawl --client claude
Configuration
Environment Variables
#### Required for Cloud API
FIRECRAWL_API_KEY: Your Firecrawl API keyFIRECRAWL_API_URL
FIRECRAWL_API_URL (Optional): Custom API endpoint for self-hosted instanceshttps://firecrawl.your-domain.com
- If not provided, the cloud API will be used (requires API key)#### Optional Configuration
##### Retry Configuration
FIRECRAWL_RETRY_MAX_ATTEMPTS: Maximum number of retry attempts (default: 3)FIRECRAWL_RETRY_INITIAL_DELAY: Initial delay in milliseconds before first retry (default: 1000)FIRECRAWL_RETRY_MAX_DELAY: Maximum delay in milliseconds between retries (default: 10000)FIRECRAWL_RETRY_BACKOFF_FACTOR: Exponential backoff multiplier (default: 2)##### Credit Usage Monitoring
FIRECRAWL_CREDIT_WARNING_THRESHOLD: Credit usage warning threshold (default: 1000)FIRECRAWL_CREDIT_CRITICAL_THRESHOLD: Credit usage critical threshold (default: 100)Configuration Examples
For cloud API usage with custom retry and credit monitoring:
```bash
Required for cloud API
export FIRECRAWL_API_KEY=your-api-keyOptional retry configuration
export FIRECRAWL_RETRY_MAX_ATTEMPTS=5 # Increase max retry attempts export FIRECRAWL_RETRY_INITIAL_DELAY=2000 # Start with 2s delay export FIRECRAWL_RETRY_MAX_DELAY=30000 # Maximum 30s delay export FIRECRAWL_RETRY_BACKOFF_FACTOR=3 # More aggressive backoffOptional credit monitoring
export FIRECRAWL_CRRelated MCP Servers
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