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    A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.
    27
    6 npm
    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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    Enables users to describe workouts in plain English and have them created as structured Garmin Connect workouts with pace, HR, power, cadence targets, and repeat blocks. Also provides full workout lifecycle management including listing, updating, deleting, and scheduling to the calendar.
    8
    72 npm
    MIT
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    An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.
    8
    2
    BSD Zero Clause
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    A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).
    23
    2,128 npm
    532
    MIT
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    MCP server for the Hevy fitness tracking app, enabling management of workouts, routines, exercise templates, folders, and webhooks through AI assistants.
    25
    2,128 npm
    MIT
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    A Model Context Protocol (MCP) server that fetches sleep, HRV, and training data from the unofficial Coros API and exposes them to AI assistants like Claude, enabling natural language queries about fitness metrics and workout management.
    26
    125
    MIT
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    Enables creating and managing COROS strength, running, and cycling workouts via the Training Hub API, including calendar management, weekly planning, validation, backups, and training analytics.
    56
    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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    Connects to Garmin Connect and exposes fitness and health data to MCP-compatible clients, enabling activity management, health metrics, training and performance analytics, workout creation/scheduling, gear, nutrition, and related data access.
    MIT
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    Supplements the official Strava MCP connector by adding write access, segments, routes, photos, derived analysis, and interactive visualizations, enabling activity management, segment exploration, route export, and training analysis through MCP.
    48 npm
    MIT
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    Enables personal trainers to query and summarize client management data—active clients, workouts, physical assessments, retention, check-ins, feedback, and finances—through MCP-compatible AI clients in read-only mode.
    1
    MIT
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    Enables AI frontends to read Xiaomi Smart Band 10 Pro health data (heart rate, sleep, steps, battery) and send haptic notifications to the wrist via the knock tool.
    1
    AGPL 3.0
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    An MCP server that connects AI assistants to your Yazio nutrition diary, enabling food tracking, product search, and nutrition goal management via reverse-engineered endpoints.
    MIT
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    An AI training coach MCP server that integrates with Garmin Connect to provide science-based load management, code-enforced injury gates, and persistent coaching memory, keeping data local.
    31 PyPI
    3
    MIT
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    Enables interaction with the Hevy fitness tracking platform through their API. Supports managing workouts, routines, exercise templates, and webhook subscriptions for comprehensive fitness data management.
    17 npm
    ISC
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    Enables users to access Whoop biometrics including recovery, sleep, and strain scores while facilitating activity logging and device management. It allows for seamless interaction with health data to set alarms, update weight, and track activities through natural language commands.
    1
    MIT
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    Connects to Garmin Connect to expose fitness and health data to MCP-compatible clients, enabling activity management, health metrics, training analytics, workout creation, and more via natural language.
    MIT