Firecrawl
Createdmcma123
Empowers LLMs with powerful web scraping capabilities for enhanced context and information retrieval.
About
Firecrawl is a Model Context Protocol (MCP) server that integrates with Firecrawl's web scraping functionality to enhance Large Language Models (LLMs) like Cursor and Claude. It provides a suite of tools for scraping, crawling, searching, extracting data from the web, and performing deep research, all while supporting Javascript rendering, URL discovery, and efficient batch processing. With built-in rate limiting, credit usage monitoring, and comprehensive logging, Firecrawl ensures reliable and efficient web data integration for LLM applications, supporting both cloud and self-hosted Firecrawl instances.
Key Features
- Automatic retries with exponential backoff
- 0 GitHub stars
- Scrape, crawl, search, extract, deep research and batch scrape support
- Efficient batch processing with built-in rate limiting
- Web scraping with JS rendering
- Credit usage monitoring for cloud API
Use Cases
- Building web-aware applications with LLMs
- Enhancing LLM context with real-time web data
- Automating web research and data extraction