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Alternatives to grounder-mcp

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Gives MCP-capable agents live web access: search the web, scrape pages into Markdown (including JavaScript-heavy and bot-protected sites), and extract named fields as JSON, with job polling, token-aware content offloading, and built-in research guidance. Ships as a self-hostable stdio or HTTP service with spend caps and per-request key support.
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    • A
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      Provides local-first web intelligence over MCP with tools for search, fetch, crawl, extract, cache, find-similar, research, and autonomous agent loops, requiring no API keys.
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      839 npm
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    • A
      license
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      quality
      B
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      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.
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    • A
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      quality
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      Enables AI agents to perform live web searches across 9 engines, scrape web pages into clean formats, and run agentic research with citations via MCP.
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    • F
      license
      Not graded
      quality
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      maintenance
      Provides AI agents and RAG pipelines with production-grade web search, deep research, news, academic, extraction, crawling, and source verification tools. Enables citation-anchored, deduplicated, fresh, and security-hardened evidence gathering from across the web.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides comprehensive search capabilities including web search, content extraction, news search, academic search, and AI-powered multi-source research. Enables natural language access to web content and research through a production-ready MCP server.
      -

    TDQS

    A4.7/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: web_search for quick snippet-level queries, fetch for reading one known page, deep_search for one-shot multi-page synthesis, and research for iterative open-ended investigation. The descriptions explicitly delineate when to use each and when not to, removing ambiguity.

    Naming Consistency4/5

    All names use lowercase snake_case and are action-oriented (web_search, fetch, deep_search, research). The pattern is consistent in style, though not strictly verb_noun; deep_search and web_search are compound nouns/adjective-verb combos, while fetch and research are single verbs.

    Tool Count5/5

    Four tools is well-scoped for a search/grounding server, each covering a distinct level of depth (search, fetch, multi-page, iterative research). No tool feels redundant or missing; the count is appropriate for the purpose.

    Completeness5/5

    The set covers the full spectrum of grounding needs: quick fact lookup, page reading, multi-source synthesis, and open-ended research. There are no obvious gaps—each tool builds on the others, and the progression from web_search to research is complete.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues