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    An MCP server that provides access to detailed exercise-to-muscle mapping data for over 320 exercises and 65 muscles. It enables users to analyze workout coverage, find exercise alternatives based on muscle overlap, and search for specific exercise activation data.
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    25 npm
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    MIT
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    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
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    Provides comprehensive running performance calculations including VDOT, training paces, race time predictions, velocity markers, and heart rate zones using Jack Daniels, Greg McMillan, and Riegel methodologies.
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    MIT
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    Enables Claude to manage MyFitnessPal food diaries, nutrition goals, exercises, body measurements, and water intake via a remote MCP server using session cookie authentication.
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    Enables users to access and query Oura ring health data, including sleep periods, readiness, activity, workouts, heart rate, stress, SpO2, resilience, and more, through Claude.ai or Claude Code using the Oura API v2 with OAuth 2.1 login.
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    Local MCP server that reorders YouTube Music playlists for running, using YouTube Data API to read, validate, and reorder tracks with dry-run and safe copy creation.
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    An MCP server for the Polar AccessLink API. Connect your Polar fitness data to Claude AI - access workouts, sleep analysis, recovery metrics, heart rate data, and more.
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    Enables reading and writing MyFitnessPal data—including food diary entries, custom foods, saved meals, recipes, exercise, measurements, water, and nutrition goals—through 33 MCP tools using your existing browser session for authentication.
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    Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.
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    A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.
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    Exposes WHOOP recovery, sleep, strain, and workout metrics to MCP-compatible AI assistants using OAuth 2.0 authentication, enabling daily wellbeing snapshots, trend analysis, and workload recommendations.
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    MIT