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Wikipedia MCP Server

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    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.
      4
      12 npm
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM agents to search Wikipedia and retrieve page content via Model Context Protocol tools, supporting natural language research.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Provides access to Wikipedia through 10 tools including search, article retrieval, summarization, and fact extraction, with multi-language support and robust error handling.
      -
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.
      1
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables searching and reading Wikipedia articles through tools like search, section listing, and content retrieval. Supports prompt templates and resource suggestions for topic exploration.
      -

    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation5/5

    The tools have clearly distinct purposes: search finds pages by keyword and returns a list, while fetch retrieves the full content of a specific page by its ID. There is no functional overlap.

    Naming Consistency5/5

    Both tool names are single-word verbs ('fetch', 'search') that accurately describe their actions. They follow a consistent simple verb pattern without mixing conventions.

    Tool Count3/5

    With only 2 tools, the server feels minimal for a Wikipedia MCP server. While the core operations (search and fetch by ID) are covered, 2 tools is on the low side for typical server scopes.

    Completeness2/5

    The server lacks several obvious operations, such as fetching a page by title directly (requiring a search then fetch), retrieving random articles, or accessing page summaries. This creates a notable gap in the tool surface.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues