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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to perform local-first web search, fetch, crawl, extract, cache, research, and autonomous information gathering through MCP, with no API keys or cloud dependencies.
      805 npm
      AGPL 3.0
    • A
      license
      Not graded
      quality
      F
      maintenance
      MCP server enabling local-first web search, fetch, extract, and caching with citeable excerpts, no API key required. Supports research workflows for agents and apps.
      105 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP clients to run offline-first web search, fetch and extract web content, build a local hybrid-retrieval knowledge base, and use persistent session memory without external API keys. It also supports intent-aware federated search, semantic reranking, entity graph exploration, and source-cited deep-search answers using local models.
      703 npm
      ISC
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to run local deep-research workflows via a single MCP stdio server, combining web search, page extraction, query-aware distillation, and caching without cloud quotas. It exposes tools for deep research, search, and single or batch URL reading.
      6
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables any MCP client to run keyless multi-engine web searches with RRF fusion, fetch pages and documents as Markdown, and full-text search a local SQLite index. It keeps queries and cached content on the user's machine, degrading gracefully across engine tiers when providers are blocked or rate-limited.
      8
      MIT

    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation3/5

    The low-level tools (fetch, search, cache, diff) are clearly separated, and the parameter details are thorough. However, research and agent overlap heavily: both plan multi-step queries, fetch pages, and optionally synthesize results, making it easy for an agent to pick the wrong one. find_similar also blurs with search when used with a concept instead of a URL.

    Naming Consistency4/5

    Six of seven tools use single lowercase words (fetch, search, cache, research, agent, diff), giving a predictable and terse style. The main deviations are find_similar using snake_case and agent being a noun rather than a verb, but the overall pattern is still readable.

    Tool Count4/5

    Seven tools is a reasonable scope for a web research and content toolkit. The count is not bloated, though research and agent occupy adjacent territory and could arguably be consolidated without losing much functionality.

    Completeness4/5

    The set covers the core research lifecycle: search, fetch, cache, find related content, synthesize, and diff. The main gap is that find_similar references a crawl tool that does not exist in the tool list, though the fetch tool can warm the cache as a workaround.

    Maintenance

    ActivityMaintained
    ResponsivenessSlow