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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.
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    35 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
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    BSD Zero Clause
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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.
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    53,090 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.
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    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.
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    Exposes client health data through a consolidated tool surface covering sleep, exercise, nutrition, cardio, fitness, cognitive, lifestyle, trends, notes, and chat history. Enables LLMs to retrieve time-series vitals, periodic assessments, unstructured text, and rolled-up summaries via standardized envelopes.
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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.
    11 npm
    MIT
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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