Firecrawl MCP Server
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- AlicenseAqualityCmaintenanceIntegrates Firecrawl for web scraping, crawling, search, and content extraction capabilities. Supports single/batch scraping, URL discovery, structured data extraction, deep research, and AI-powered web analysis with automatic retries and rate limiting.821,983 npmMIT
- AlicenseNot gradedqualityDmaintenanceIntegrates with Firecrawl for web scraping, enabling capabilities like scraping, crawling, searching, extracting, deep research, and batch scraping with JavaScript rendering and smart content filtering.21,983 npm1MIT
- AlicenseAqualityDmaintenanceIntegrates Firecrawl web scraping capabilities including scraping, crawling, searching, extracting structured data, deep research, and batch processing with support for both cloud and self-hosted instances.1021,983 npm2MIT
- AlicenseAqualityDmaintenanceIntegrates Firecrawl web scraping capabilities, enabling web content extraction, crawling, site mapping, search, and structured data extraction with automatic rate limiting and retry handling.621,983 npm2MIT
- AlicenseAqualityDmaintenanceEnables web scraping, crawling, and content extraction by integrating with the Firecrawl API. It supports deep research, batch scraping, and automatic rate limiting for both cloud and self-hosted environments.821,983 npm1MIT
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TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose with minimal overlap. The descriptions explicitly differentiate use cases (e.g., scrape vs. batch_scrape vs. extract, map vs. crawl vs. search), and the 'Best for'/'Not recommended for' sections prevent confusion. Tools like generate_llmstxt and deep_research serve unique specialized functions.
All tools follow a consistent firecrawl_verb_noun naming pattern (e.g., firecrawl_scrape, firecrawl_extract, firecrawl_generate_llmstxt). The verb-noun structure is uniform throughout, with no mixing of conventions or styles, making the set highly predictable and readable.
With 8 tools, the count is well-scoped for a web content extraction and research server. Each tool addresses a specific aspect of the domain (mapping, crawling, scraping, extracting, searching, researching, status checking, and file generation), with no obvious redundancy or missing core functionality.
The toolset provides comprehensive coverage for web content operations, including discovery (map, search), extraction (scrape, extract, crawl), advanced processing (deep_research, generate_llmstxt), and job management (check_crawl_status). There are no apparent gaps; agents can handle full workflows from URL discovery to structured data extraction.