brightdata-mcp vs firecrawl

Web data tools for AI agents compared

brightdata-mcp and firecrawl help AI applications access current web content through search, scraping, and extraction. brightdata-mcp connects MCP clients to Bright Data’s services, while firecrawl offers a broader platform for crawling and mapping sites, with hosted and self-hosted options.

brightdata-mcpfirecrawl
LanguageJavaScriptTypeScript
LicenseMITAGPL-3.0
Stars2.7k188k
Forks33310k
Last analyzedOct 20, 2026Oct 3, 2026

Key differences

  • brightdata-mcp is a JavaScript MCP server built around Bright Data’s infrastructure; firecrawl is a TypeScript web data platform and API.
  • brightdata-mcp includes structured-data tools for supported platforms and remote browser automation; firecrawl emphasizes site crawling, URL mapping, batch scraping, and search.
  • brightdata-mcp requires a Bright Data account and API token, including for its hosted endpoint; firecrawl offers a hosted API and a self-hostable codebase.
  • brightdata-mcp is MIT-licensed; firecrawl’s main project is AGPL-3.0, with SDKs and some UI components under MIT licenses.
  • brightdata-mcp can run locally with npx or connect to a hosted MCP endpoint; firecrawl provides SDKs for languages including Python, TypeScript, Go, Java, and Rust.
  • The supplied project facts list 2.7k stars for brightdata-mcp and 188k for firecrawl.

Choose brightdata-mcp if you…

  • need an MCP server that connects to Bright Data’s web data services.
  • want platform-specific structured data tools or remote browser controls through an MCP interface.
  • prefer an MIT-licensed project and are prepared to use a Bright Data account and API token.
Read the brightdata-mcp analysis →

Choose firecrawl if you…

  • need to crawl sites, map URLs, or batch-scrape multiple pages.
  • want a hosted API or the option to self-host the codebase.
  • need SDK access from languages such as Python, TypeScript, Go, Java, or Rust.
Read the firecrawl analysis →

Compare the numbers side by side, or add more projects

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.