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    Related Servers

    • A
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      quality
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      Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.
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    • A
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      An MCP server that securely syncs and queries your health data from Apple Health, storing it in your own Supabase Postgres database and exposing tools for AI assistants to retrieve weight, calories, macros, and more.
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    • A
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      Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.
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    • A
      license
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      quality
      B
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      Self-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.
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    • F
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      quality
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      An MCP server that connects AI clients to the Hevy workout tracking app, allowing users to manage routines and exercises. It enables reading workout history and logging new fitness sessions through simple natural language commands.
      -
    • F
      license
      Not graded
      quality
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      Offline MCP server for logging workouts, tracking dietary macros, and retrieving daily summaries, all stored in local SQLite. Enables fitness tracking via natural language in MCP-compatible clients.
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    TDQS

    A4.2/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: catalog management (add/find product), food logging (log/delete entries), workout synchronization, and generic SQL query. There is no overlap or ambiguity between tool purposes.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores (delete_food_entry, add_product, find_product, log_food, sync_workouts, query). The naming is predictable and uniform.

    Tool Count5/5

    The server has 6 tools, which is well-scoped for a health data management domain. Each tool serves a clear purpose without unnecessary redundancy or overwhelming count.

    Completeness4/5

    Core workflows are covered: product catalog creation and search, food logging and deletion, workout sync, and read-only query access. Minor gaps exist (e.g., no update or delete for products, no update for food entries), but these can be worked around via delete/re-log or are not essential for the server's purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive