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shkyyy18

Mi Fitness Data Bridge

by shkyyy18
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      AGPL 3.0
    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

    A4.6/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: query_* tools target specific health data types or aggregation levels, while sync lifecycle tools (connection, sync, status, cancel, history, coverage) are well separated. Descriptions explicitly cross-reference related tools to resolve potential overlaps (e.g., metric series vs daily activity vs raw body measurements).

    Naming Consistency5/5

    All names use consistent snake_case with predictable verb prefixes: get_ for system/status reads, query_ for cached data reads, and sync/cancel for actions. Minor singular/plural variation (query_workouts vs query_workout_series) is semantically meaningful and not confusing.

    Tool Count4/5

    17 tools is slightly above the typical 3–15 range but justified by the breadth of distinct health metrics and sync management operations. No tool appears redundant; each query tool maps to a unique data type or purpose.

    Completeness4/5

    The surface covers connection, sync lifecycle, cache coverage, profile, and queries for all major Mi Fitness data types (activity, body, heart rate, sleep, workouts, SpO2, stress, abnormal beats). Minor gaps like sleep stages or workout GPS details may exist, but agents can work around them.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources