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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.
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    1
    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
    BSD Zero Clause
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    Connects AI agents to Iridium fitness data to query workout history, nutrition logs, and body measurements. It enables users to track exercise progress, training volume, and personalized trainer analysis through natural language.
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    MIT
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    A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.
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    MIT
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    An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.
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    An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.
    61
    ISC
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    Personal workout coach MCP server that logs exercises in natural language, tracks progress with SQLite, and provides coaching signals like estimated 1RM and volume trends.
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    A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.
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    MIT
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    Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.
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    Connects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance metrics. It enables users to analyze training progress, compare workouts, and retrieve specific segment details through natural language queries.
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    ISC