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    Enables a personal agent to read selected live Garmin Connect activity, readiness and device fields and, only after explicit approval of an exact preview, to create, schedule and request device synchronization of one fixed 20-minute running connectivity test over stdio. Login credentials never enter the model-facing tool surface, and no other workouts can be created, edited or deleted.
    MIT
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    Enables an agent to fetch one night of Eight Sleep data as ready-made text — scores, sleep stages, HRV, heart and respiratory rate versus your averages, and bed/room temperatures — plus short summaries of earlier nights for a morning check-in. Read-only, so nothing on the mattress can be changed.
    1
    3
    MIT
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    Enables agents to read Mi Band health records from a computer, providing recent status, daily reports, historical details, and data sync via Gadgetbridge and USB, with agent-guided setup.
    11
    21
    AGPL 3.0
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    Enables AI agents to securely access Apple Health data (sleep, heart rate, menstrual cycle, etc.) via end-to-end encrypted local decryption from the Tether iOS app.
    29
    67 PyPI
    2
    MIT
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    An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.
    3
    329 npm
    MIT
  • A
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    Turns your own wearable data into coaching for hybrid fitness races by exposing readiness, running coach plans, fitness trends and training summaries as tools an agent can query. Keeps your data read-only at the provider and lets you log the station work and race profile your watch can't see in a local database.
    9
    MIT
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    MCP server that unifies Garmin and COROS athlete data and capabilities, persisting training history, injuries, goals, and preferences across sessions so a coding agent can act as an AI coach. Enables natural-language discussion of training and recovery, injury risk, race goals and tactics, nutrition and gear, plus data analysis and lookups, including confirmed write-back of workouts and plans to the platforms.
    9
    MIT
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    MCP server that provides local caching, sync, and tools for Zepp Life health data including steps, sleep, heart rate, workouts, and body measurements, supporting both file exports and cloud session access.
    10
    15
    MIT
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    MCP server for integrating with the EVO gym management API, enabling access control, member management, activity scheduling, sales, and workout management through natural language.
    12
    MIT
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    Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol to query workouts, build structured intervals, manage calendar, track fitness trends, and control training through natural conversation.
    65
    MIT
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    Enables AI clients to query and analyze your own Xiaomi/Mi Fitness health data — daily activity, minute-level heart rate, sleep stages, workouts, body composition, SpO₂, stress, and abnormal heart beat events — after syncing it from the Xiaomi cloud into a local SQLite database. Exposes 14 tools covering connection status, incremental sync control, and metric/date-range queries, with everything stored and served locally.
    14
    MIT
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    HYBRD manage your wearables connection, is a system of record for your training plan / completed workouts, and steers LLMs towards giving better fitness coaching
    4
    MIT
  • A
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    MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.
    11
    MIT
  • A
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    Enables AI agents to access and manage fitness programs, exercise catalog, workout resources, activity metrics, journaled plan edits, and change tracking through authenticated tools.
    2 npm
    MIT
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    Enables self-hosted, read-only access to your own Oura account from an agent, exposing catalog and query tools that return native Oura API v2 JSON with pagination and provenance. Runs one isolated container per person with no hosted service or shared credentials.
    18 npm
    MIT
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    Exposes wellness data such as sleep, activity, heart rate, and stress as MCP tools so AI agents can retrieve current vitals, pull historical records, and analyze trends. Supports simulated physiology along with Fitbit and planned Apple Health providers.
    MIT
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    A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.
    66 npm
    MIT
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    Enables an AI agent to read Garmin sleep, readiness and activity data, build an athlete profile, check proposed sessions against code-enforced limits and real calendar availability, and then push approved structured workouts to a Garmin watch. Plans are proposed and stored under a plan ID, so only explicitly approved sessions are ever written.
    MIT
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    A universal fitness intelligence layer for AI assistants like Claude, ChatGPT, and Copilot, enabling user profiles, workout/diet plans, calendar scheduling, and gamification via MCP and REST APIs.
    7,661 npm
    MIT
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    Controls a KingSmith WalkingPad Z1 under-desk treadmill from a Mac over Bluetooth LE, with CLI and MCP server for status, start, stop, and speed control.
    MIT
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    Self-hosted multi-user Google Health OAuth broker and read-only Agent API with remote MCP support. Enables users to connect their Google account and grant agents secure access to activity, sleep, heart, HRV, SpO2, and other health metrics via revocable per-token authentication.
    3
    MIT
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    Calculates Karvonen heart-rate corridors, estimates VO2max, models fat oxidation kinetics, and prescribes weekly mitochondrial longevity volume from biometrics and current aerobic activity.
    7
    MIT
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    A health-data MCP server with per-user authorization using JWT tokens, enabling secure access to fitness data like profiles, progress, meal logs, workout logs, and weight logs through MCP tools.
    MIT
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    Enables users to estimate VO2max from heart-rate ratios or Cooper 12-minute run distances, benchmark results against ACSM age and sex medians, and derive cardiorespiratory fitness biological age and all-cause mortality hazard ratios.
    7
    MIT