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dcaslin

Boostcamp MCP Server

by dcaslin

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      D
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      Access your Hevy workout data through natural language. Query workout history, exercise details, routines, and track progress.
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      Connects AI assistants directly to Hevy workout data, enabling analysis of training volume, strength progression tracking, and web searches for fitness research.
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      Enables AI assistants to interact with the Hevy fitness tracking API, allowing users to log workouts, manage routines, browse exercises, and track fitness progress through natural language.
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    TDQS

    B3.3/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct resource or aspect (home charts, muscle, programs, summary, profile, payment, program details, training history, and various list operations). No two tools have overlapping purposes, making selection unambiguous.

    Naming Consistency5/5

    All tools use a consistent verb_noun pattern: `get_` for single items or summaries and `list_` for collections. The naming is predictable and uniform.

    Tool Count5/5

    With 12 tools, the server covers the main areas of a fitness dashboard (home, profile, programs, history, etc.) without being too few or too many. The count is well-scoped for its purpose.

    Completeness3/5

    The tool set is entirely read-only (all get/list). Missing common mutations like creating custom exercises, enrolling in programs, or updating profile settings. While adequate for a query interface, it lacks lifecycle operations typical for a full-featured server.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues