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taimoorahmed91

FitTrack MCP Server

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    • A
      license
      Not graded
      quality
      D
      maintenance
      A comprehensive AI-powered fitness tracking application that enables AI tools to interact intelligently with user fitness data, providing personalized workout plans, nutrition tracking, and progress analysis through natural language.
      15
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to access and manage fitness programs, exercise catalog, workout resources, activity metrics, journaled plan edits, and change tracking through authenticated tools.
      163 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT to manage fitness routines, guided sessions, workout history, body weight tracking, and statistics through a remote authenticated MCP server with read and write tools.
      AGPL 3.0

    TDQS

    A3.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct resource: meals, sleep, and user info. There is no overlap in purpose, ensuring clear selection by an agent.

    Naming Consistency5/5

    All tool names follow a consistent 'get_' prefix with a noun (get_meals, get_sleep, get_user). No mixing of conventions.

    Tool Count4/5

    With only 3 tools, the server feels slightly thin but still appropriate for a focused read-only fitness data retrieval service. The scope is limited but coherent.

    Completeness2/5

    The server only provides read operations (GET) with no ability to create, update, or delete data. For a fitness tracker, this is a significant gap, limiting agent capabilities to querying existing data.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues