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axelfreeman

GymCam Analytics

by axelfreeman
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Python
Remote

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    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

    A3.6/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct analytics dimension: daily summary, trainer-specific metrics, class performance, and revenue. No two tools overlap in purpose or output, so an agent can clearly select the right tool for a given request.

    Naming Consistency5/5

    All tools follow a uniform 'get_<noun>_<noun>' pattern (e.g., get_today_summary, get_trainer_attendance). The naming is consistent, descriptive, and predictable, making it easy to infer tool purpose from the name alone.

    Tool Count5/5

    With only 4 tools, the server is tightly scoped to core gym analytics. Each tool provides a distinct slice of the domain without redundancy, and the count is appropriate for a focused analytics service.

    Completeness4/5

    The toolset covers the primary analytics needs: overall summary, trainer performance, class performance, and revenue. Minor gaps exist (e.g., no member-specific analytics or custom date-range queries), but the current surface handles common use cases well.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources