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    A stateless MCP server that normalizes strength training logs into a deterministic canonical schema, enabling consumers to build analytics downstream without storing data server-side.
    3
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    A Model Context Protocol (MCP) server that provides comprehensive access to Garmin Connect data including sleep analytics, health metrics, activities, and training volume analysis.
    16
    26 npm
    7
    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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    Enables triathlon coaches and athletes to interact with Garmin Connect, including retrieving health/activity data, building and uploading structured workouts (cycling, running, swimming, brick), and accessing coaching analytics like readiness, load, and performance trends.
    172
    MIT
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    Connects to Garmin Connect and exposes fitness and health data via 110+ tools for activities, health metrics, workouts, training analytics, and more to MCP-compatible clients.
    138
    MIT
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    MCP server for Hevy that fetches live workout data and computes analytics like e1RM, PRs, volume, and consistency, while enabling writes for routines, folders, and body measurements without modifying workout history.
    54 npm
    1
    MIT
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    Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.
    MIT
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    Read-only MCP server aggregating Lyfta workouts, Yazio nutrition, and weight data. Exposes tools for querying workouts, nutrition summaries, and fitness analytics to AI clients.
    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
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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.
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  • F
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    AI-powered coaching for runners, cyclists, swimmers, and triathletes, enabling personalized workouts, training plan adaptation, performance analytics, and AI coaching via Claude, MCP clients, or HTTP.
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    Enables users to query recovery, sleep, HRV, strain, workouts, and personal health analytics in natural language through supported AI assistants, using read-only tools for daily status, baselines, trends, and period comparisons.
    7 npm
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