A
licenseB
qualityD
maintenanceA Model Context Protocol server that enables AI assistants to perform advanced web scraping, crawling, searching, and data extraction through the Firecrawl API.
9
190,664 npm
MIT
Firecrawl MCP Server
by ampcome-mcps
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TDQS
A4.2/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with minimal overlap. The descriptions explicitly differentiate use cases (e.g., scrape vs. batch_scrape vs. extract, crawl vs. map vs. search) and provide guidance on when to use each tool. An agent can easily distinguish between them based on their specific functions.
Naming Consistency5/5
All tool names follow a consistent 'firecrawl_' prefix with snake_case naming (e.g., firecrawl_scrape, firecrawl_extract). The verb-noun pattern is uniform throughout, making the tool set predictable and easy to understand at a glance.
Tool Count5/5
With 8 tools, the server is well-scoped for web content extraction and research. Each tool serves a specific role (e.g., mapping, crawling, scraping, extracting, searching), and none feel redundant or unnecessary. The count aligns well with the domain's complexity.
Completeness5/5
The tool set comprehensively covers the web content extraction and research domain. It includes discovery (map, search), extraction (scrape, extract, crawl), analysis (deep_research, generate_llmstxt), and status checking (check_crawl_status). There are no obvious gaps, and the tools support a full workflow from URL discovery to structured data extraction.
Maintenance
ActivityInactive
ResponsivenessNo issues