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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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    Provides local, read-only MCP access to Google Health API v4, enabling users to query recorded workouts, heart-rate samples, and related health data through natural language in an MCP client.
    3
    41 npm
    MIT
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    Enables AI assistants to query read-only Fitbit and Pixel Watch health data through the Google Health API, including sleep, activity, heart rate, workouts, and profile information.
    7
    41 npm
    MIT
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    Enables Claude and other AI agents to read sleep and recovery data from a Fitbit or Pixel Watch through the Google Health API, including HRV, resting and sleeping heart rate, SpO2, breathing rate, skin temperature, and detailed sleep stages compared against a personal baseline. It runs as a shared AWS Lambda custom connector with per-user Google sign-in and read-only tools for recovery status, daily metrics, sleep sessions, and night-level detail.
    41 npm
    1
    MIT
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    Enables reading personal activity, sleep, and health measurements, comparing weekly or monthly trends, and optionally saving food, water, mood, symptom, and menstrual-period records to Google Health through a self-hosted, owner-only deployment.
    11 npm
    1
    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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    A remote MCP server that gives MCP clients read-only, OAuth-authenticated access to Google Health API data such as activity, sleep, heart, body, nutrition and ECG records. It exposes tools for profiles, paired devices, data points, daily summaries and time-window rollups, and is deployed on Cloudflare Workers.
    41 npm
    1
    MIT
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    Enables AI apps to query a user's Google Health data—such as sleep, heart rate, HRV, activity, and paired devices—through read-only tools deployed privately in the user's own Firebase project.
    1
    AGPL 3.0
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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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    Read-only MCP access to Fitbit-synced health data through Google Health API v4. Provides tools for metrics, summaries, trends, and data quality without write or arbitrary HTTP operations.
    MIT
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    An MCP server that connects AI clients to the Google Health API, enabling natural language queries about health and fitness data such as steps, sleep, heart rate, and exercise sessions.
    41 npm
    1
    MIT
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    Lets a single user read a bounded set of their own Google Health data from ChatGPT conversations through a private MCP connection, exposing four read-only tools for rollups, reconciled records, and irregular-rhythm notification history.
    1
    Apache 2.0
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    Enables AI assistants to read Fitbit/Google Health data (steps, sleep, heart rate, SpO2, workouts) and log weight, food, water, and exercises via natural language, self-hosted on Cloudflare Workers.
    5
    MIT
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    Gives Claude read access to wearable health data from Fitbit or Wear OS devices via the Google Health API, exposing tools for metrics like steps, heart rate, sleep, and workouts, plus a computed recovery score.
    1
    MIT
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    MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
    9
    MIT
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    Enables an MCP client to read and write a personal Garmin Connect account: activities with per-set strength detail, daily health metrics (sleep, HRV, stress, steps, readiness), planned and completed workouts, and weigh-ins with body composition. It also logs finished strength sessions and body-composition readings as FIT files so they appear in Garmin Connect like natively recorded ones.
    38
    250 PyPI
    2
    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.
    24
    184 PyPI
    1
    GPL 3.0
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    Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.
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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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    Enables read-only querying of your own Garmin Connect data — sleep, HRV, resting HR, Body Battery, activities, training volume, body composition, and nutrition — through Garmin's official Personal API using a revocable key. Returns compact, unit-labelled JSON shaped around questions so whole date ranges fit in context.
    9
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    MIT
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    Hosted MCP server that syncs health data from Apple Health, Fitbit, Oura, and Google Health Connect, enabling Claude and ChatGPT to query workouts, sleep, nutrition, and recovery in plain English with interactive charts.
    73
    3
    MIT
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    Enables MCP clients to read a user's own Rouvy activities, including summaries and per-second data for splits, selected time-window analysis, and downsampled streams; optionally exports FIT or CSV files when configured.
    11
    52 npm
    MIT
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    Enables local access to Fitbit data via the Google Health API, including status/device metadata, bounded raw reads, daily activity rollups, and reviewed meal or water writes with previews, explicit commits, read-back, and duplicate protection.
    13
    Apache 2.0
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    Enables local, read-only analysis of running durability from your own FIT files, listing outdoor runs and returning drift, magnitude, onset, and trend indices without GPS coordinates or predictions.
    3
    MIT
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    Enables any MCP client to calculate how many calories a user has earned by walking to a destination, then shows which nearby restaurants and dishes fit within that remaining budget. Blends official McDonald's nutrition data with estimated Chinese-restaurant nutrition values and real walking distances, exposing a walk allowance, nearby food lookup, eatability check, and concept explanation as tools.
    4
    206
    MIT
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    Enables recording meals and workouts in Traditional Chinese and writing them to a user's Fitbit/Google Health account via Google Health API v4, with local OAuth, dry-run previews, and idempotency safeguards.
    11
    MIT