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Alternatives to local-web

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to run local multi-engine web searches, fetch pages through anti-bot fallback chains, and query site-specific sources such as GitHub, npm, PyPI, Docker Hub, and Twitter/X for structured results.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.
      10
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables agents to search the live web and fetch URLs as clean Markdown, returning ranked search results and paginated page content through two lightweight tools.
      2
      8 npm
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.
      3
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.
      BSD Zero Clause
    • A
      license
      A
      quality
      B
      maintenance
      Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.
      2
      MIT

    TDQS

    A3.7/5.0

    Scored across 11 tools

    Disambiguation4/5

    The search tools are cleanly separated by domain (web, scholar, arXiv, GitHub, HF, libgen), and fetch_page/fetch_stealth/fetch_pdf have described fallback roles. There is still minor overlap between fetch_page, alphaxiv_fulltext, and fetch_pdf for retrieving arXiv/PDF content, but the descriptions mostly resolve when to use each.

    Naming Consistency4/5

    All names are snake_case and readable, with fetch_* for retrieval and *_search for domain searches. The mix of verb-first (fetch_page), domain-first (arxiv_search), and prefixed tools (alphaxiv_lookup) is a minor inconsistency rather than a confusing one.

    Tool Count5/5

    Eleven tools are well within a reasonable scope for a web research server. Each search domain and fetch variant covers a distinct source or retrieval mode, so the set does not feel bloated.

    Completeness4/5

    The surface covers general web search, academic/arXiv search, code/model/book search, plus page, PDF, stealth, and arXiv full-text fetching. Minor gaps remain around crawling/site mapping or generic file extraction, but core research workflows are covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues