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    MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.
    5
    MIT
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    Enables interaction with the Google Health API v4 using a user's OAuth grant, exposing tools for profiles, settings, paired devices, raw data points, reconciliation, rollups, and exercise export.
    MIT
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    MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.
    6
    19
    67 PyPI
    GPL 3.0
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    A local-first, read-only MCP server that provides compact recovery, sleep, strain, HRV, heart-rate, workout, and body-measurement data from WHOOP without sending credentials to a third party.
    5
    43 npm
    1
    MIT
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    Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.
    9
    1
    MIT
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    A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
    26
    372 npm
    57
    MIT
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    A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.
    4
    24
    MIT
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    A read-only MCP server for the Apex Rides API, deployed as a Cloudflare Worker, providing tools to browse popular classes, search workouts, get class details, and list instructors.
    24 npm
    MIT
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    An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.
    1,026 npm
    1
    MIT
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    MCP server for Garmin Connect that enables users to access and manage their personal health and fitness data, including daily summaries, heart rate, sleep, HRV, stress, body composition, activities, and training readiness, with secure per-user authentication.
    Apache 2.0
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    A Model Context Protocol (MCP) server that provides AI assistants with access to the Hevy fitness tracking API. This allows you to log workouts, manage routines, browse exercises, and track your fitness progress directly through AI chat interfaces.
    10 npm
    MIT
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    A Model Context Protocol server that enables language models to interact with Strava data, including activities, athlete statistics, routes, achievements, and social features.
    6
    MIT
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    MCP server over the YAZIO food diary that lets a model read what you've eaten today, log meals, build recipes from tracked products, track water, weight and exercise, and query nutrition summaries, goals and profiles.
    2
    MIT
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    Self-hosted multi-user Google Health OAuth broker and read-only Agent API with remote MCP support. Enables users to connect their Google account and grant agents secure access to activity, sleep, heart, HRV, SpO2, and other health metrics via revocable per-token authentication.
    3
    MIT
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    Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.
    7
    Apache 2.0