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evanfoglia

Wikipedia MCP

by evanfoglia
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Python
Remote

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    Related Servers

    • wikipedia-mcp

      LLLeoLi
      A
      license
      B
      quality
      C
      maintenance
      An MCP server that gives LLMs access to Wikipedia, supporting search, article retrieval, summaries, sections, and related topics across multiple languages and language variants.
      22
      MIT

    • Wikipedia MCP Server

      Ravishka17
      F
      license
      Not graded
      quality
      D
      maintenance
      Provides comprehensive Wikipedia access for AI assistants via MCP Streamable HTTP transport, enabling search, article retrieval, summaries, section analysis, link discovery, and multi-language support.
      2
      -

    • Ratatoskr-mcp

      edk4971
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that exposes a single tool to retrieve Wikipedia articles from local multistream dump files, offering fast offline access with redirect following and fuzzy matching.
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 40 tools

    Disambiguation4/5

    Tools are mostly distinct, and descriptions explicitly contrast similar ones (e.g., revisions vs recent_changes, links vs backlinks). However, with 40 tools, clusters like edit-history and daily-content tools require careful reading to avoid misselection.

    Naming Consistency5/5

    All tool names use consistent snake_case with lowercase, no mixing of conventions. The naming pattern is predictable and readable throughout.

    Tool Count2/5

    40 tools is far beyond the recommended 3-15 range, making the set heavy and potentially overwhelming for an agent. While the domain is broad, many tools could be consolidated or grouped.

    Completeness5/5

    The read-only surface covers article retrieval, search, media, categories, links, edit history, analytics, and daily feeds comprehensively. No obvious gaps for a Wikipedia reading server.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources