Mi Fitness Data Bridge
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- AlicenseBqualityCmaintenanceEnables MCP clients to query locally computed recovery, strain, sleep, workout, and heart-rate data from a personal SQLite database, with tools for daily and sleep summaries, workout details, heart-rate buckets, schema inspection, reports, sync, and read-only SQL.8MIT
TDQS
Scored across 17 tools
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).
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.
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.
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.