Firecrawl MCP Server
Related Servers
Alternatives to Firecrawl MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server that enables web scraping, crawling, and content extraction capabilities through integration with Firecrawl.822,552 npm2MIT
- FlicenseAqualityDmaintenanceA production-ready Model Context Protocol (MCP) server that integrates with the Firecrawl API to give AI assistants the power to scrape, crawl, and search the web.3-
- FlicenseCqualityCmaintenanceBuilt as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.41-
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables web search, scraping, crawling, and content extraction through multiple engines including SearXNG, Firecrawl, and Tavily.4121 npm141MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server for web scraping and searching, with automatic fallback from Tavily to Firecrawl for fetching web content.21MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.22,552 npm1MIT
TDQS
Scored across 9 tools
Most tools have distinct purposes, but there is some potential overlap between firecrawl_scrape and firecrawl_extract, as both involve extracting content from web pages. The descriptions clarify that scrape focuses on raw content extraction with advanced options, while extract uses LLM for structured information, but an agent might still confuse them. Other tools like crawl, map, search, and deep_research are clearly differentiated.
All tool names follow a consistent 'firecrawl_' prefix with snake_case and descriptive verb_noun patterns (e.g., batch_scrape, check_batch_status, crawl, deep_research). This uniformity makes the set predictable and easy to navigate, with no deviations in naming conventions across the nine tools.
With 9 tools, the count is well-scoped for a web crawling and scraping server, covering key operations like single and batch scraping, crawling, mapping, searching, and deep research. Each tool serves a specific function without redundancy, making the set comprehensive yet manageable for typical use cases.
The tool set covers the core web crawling and scraping domain effectively, including initiation, status checking, and various extraction methods. A minor gap exists in the lack of tools for managing or deleting jobs, but agents can work around this by relying on job IDs and status checks. Overall, the surface supports essential workflows without significant dead ends.