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    Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.
    10
    20 npm
    1
    MIT
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    Enables AI assistants to query a user's own Garmin Connect training, health, and recovery history through Garmin's official Personal API, backed by a local cache and built-in analysis tools.
    21
    379 npm
    2
    Apache 2.0
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    Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.
    11
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    GPL 3.0
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    Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.
    8
    18 npm
    3
    MIT
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    Enables AI assistants like Claude to interact with TrainingPeaks, allowing users to query workouts, build structured intervals, track fitness trends, and add comments through natural language, with automatic secure login.
    8
    MIT
  • F
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    Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),
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    Enables Claude to answer trail and ultra running questions from a local DuckDB warehouse built from Garmin FIT files, with 29 parameterised tools that compute running-only pace by grade, matched-terrain heart rate drift, segment comparisons and training load, each result stating its filters and exclusions.
    29
    MIT
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    Enables searching FatSecret's food and recipe database, and managing personal food diary, weight, exercise, saved meals, and favorites, with multi-user support and secure OAuth authentication.
    28
    Apache 2.0
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    Provides AI agents with access to Hevy workout data, allowing them to manage workouts, routines, exercises, and body measurements through a Dockerized SSE endpoint.
    21
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    A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.
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    MIT
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    Enables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.
    26
    MIT
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    Enables AI assistants to read training, sleep, recovery, nutrition, body composition, race and goal data, and with permission write workouts, daily targets, meal plans, logged meals and notes. Also supports checking for updates since the last look.
    MIT
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    Connects Aidlab wellness data to AI tools through MCP, providing read-only access to daily summaries, steps, heart rate, HRV, sleep, activities, and profile with OAuth authentication.
    MIT
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    This MCP server exposes read-only Apple Health data to AI assistants via three tools (health_now, health_detail, health_trends), deployable to Cloudflare with a one-click button and no coding required.
    MIT
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    Gives any MCP client local access to Garmin Connect sleep and nap data, recovery and Body Battery, training readiness and load, running tolerance, VO2 Max, race predictions, gear mileage and running summaries. It runs over stdio or Streamable HTTP and includes a credential-free demo mode with fictional sample data.
    2
    MIT
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    A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.
    MIT
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    Enables MCP clients to read and update Garmin Connect data, including activities, health metrics, training status, and more, with per-account multi-tenant authentication.
    3
    MIT
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    Bridges the official COROS (高驰) MCP endpoint into DeepSeek Harness or any MCP client, exposing 34 tools covering sleep, HRV, resting heart rate, recovery, training load, activities and FIT files, plus workout and training-plan creation and scheduling. It handles OAuth login, rotation-safe token refresh and MCP schema inlining locally, so users can query and manage their COROS training data through natural language with no external CLI or runtime dependencies.
    MIT
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    Enables Claude to create, list, inspect, and delete custom rowing workouts in the EXR indoor rowing app, converting intervals.icu workout documents (power, cadence, ramps, repeats) into EXR's simpler timed or distance-based blocks with dates in the titles. Runs as an AWS Lambda-hosted claude.ai custom connector with per-user OAuth sign-in, so several people can share one deployment while each only sees their own EXR workouts.
    1
    MIT
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    Enables MCP clients to access and manage Intervals.icu training data, including activities, calendar events, wellness metrics, power curves, gear, and custom items, with zero-config interactive authentication.
    45 npm
    MIT
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    MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.
    1
    MIT
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    Enables Claude or any MCP client to read a single user's Garmin Connect health and fitness data — daily summaries, sleep, HRV, activities, Body Battery and body composition — through OAuth-protected, read-only tools. Responses are shaped for models with merged date ranges, compact or aggregated views, decoded FIT files and actionable errors.
    MIT
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    Enables MCP-compatible clients to search foods and manage a personal nutrition diary, saved meals, exercise, weight, favorites, recipes, and monthly summaries via the FatSecret Platform API. It provides 39 tools with confirmation for mutating actions, OAuth 1.0 3-legged authentication, and MCP Streamable HTTP transport.
    MIT