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agentfetch-mcp

agentfetch-mcp

by bch1212

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    • A
      license
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      quality
      A
      maintenance
      Enables AI agents to fetch web pages, strip noise, and convert content into clean Markdown with link preservation, caching, and configurable crawling for token-efficient scraping.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to quickly fetch webpages, strip noise, and convert content into clean, link-preserving Markdown with caching and optional multi-page crawling for token-efficient web scraping.
      -
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and LLM pipelines to fetch webpages, strip noise, preserve links, and convert content to clean Markdown with caching and configurable crawling for token-efficient scraping.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to fetch any web page and receive clean, token-efficient Markdown, escalating only as needed from direct HTTP with browser TLS fingerprints to headless-browser rendering and residential proxies when a site blocks access. Supports question-focused passage retrieval with BM25 ranking, pagination, caching, JS rendering control, and safe-by-default restrictions on local and private-network URLs.
      1
      AGPL 3.0

    TDQS

    A4.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: estimate_tokens is for token estimation without body fetch, fetch_url for single URL fetch, fetch_multiple for batch fetch, search_and_fetch for combined search and fetch. No overlap in functionality.

    Naming Consistency5/5

    All tool names use consistent snake_case with a verb_noun pattern. The verbs are clear (estimate, fetch, fetch, search_and_fetch) and the nouns differentiate the actions (tokens, url, multiple, and_fetch).

    Tool Count5/5

    With 4 tools, the set is concise and well-scoped for a web fetching and searching service. Each tool addresses a core need: estimating, single fetch, batch fetch, and combined search+fetch.

    Completeness4/5

    The tool set covers the primary workflows of fetching URLs and searching. A possible gap is the lack of a search-only tool that returns just snippets without fetching, but given the server's focus on fetching, the current set is largely complete.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data