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Alternatives to crawl4ai-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      F
      maintenance
      A lightweight MCP server that exposes Crawl4AI web scraping and crawling capabilities as tools for AI agents, enabling single-page scraping and multi-page crawling with adaptive stopping.
      112
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server integrating Crawl4AI for universal web crawling and data extraction. Enables AI agents to crawl, extract markdown/HTML, take screenshots, generate PDFs, and execute JavaScript on web pages.
      11 npm
      6
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Open-source web scraping MCP server with anti-bot bypass, enabling AI models to scrape, crawl, search, and extract data from any website without API keys or limits.
      -

    TDQS

    B3.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: crawl_website handles multi-page crawling with depth and page limits, while scrape_webpage focuses on single-page extraction. There is no overlap in functionality, making it easy for an agent to choose the right tool based on whether it needs to crawl multiple pages or scrape just one.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern (crawl_website and scrape_webpage), using snake_case and descriptive action-object naming. This consistency makes the tool set predictable and easy to understand at a glance.

    Tool Count2/5

    With only 2 tools, the server feels too thin for a web crawling/scraping domain. While the tools cover basic crawling and scraping, typical MCP servers in this domain would include additional utilities like filtering, parsing, or handling different content types, making this set appear incomplete and limited in scope.

    Completeness2/5

    The tool set is severely incomplete for web crawling and scraping. It lacks essential operations such as updating crawl parameters, deleting or managing crawl jobs, handling errors or retries, and processing extracted data (e.g., cleaning, summarizing). This forces agents into dead ends for common workflows beyond basic one-off tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues