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"Garmin" matching MCP servers:

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    Enables users to analyze their own Garmin Connect data—activities, sleep, HRV, Body Battery, training readiness—directly inside Claude Desktop.
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    MIT
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    Local-first MCP server that connects AI agents to your Garmin sleep, HRV, Body Battery, stress, training readiness and activities, keeping tokens on your machine.
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    MIT
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    An MCP server for Garmin Connect that provides access to fitness activities, health statistics, and sleep data by routing requests through a headless browser to bypass API restrictions. It enables users to query detailed metrics like heart rate zones, body battery, and GPS tracks using any MCP-compatible client.
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    AGPL 3.0
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    A local, read-only MCP server that allows Claude Desktop to access Garmin Connect data such as activities and recovery metrics, enabling AI-assisted running plan creation and adjustment.
    Last updated
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    Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.
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    Enables querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.
    Last updated
    7
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    MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.
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    7
    MIT
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    Provides two MCP servers: one for searching public Vault documentation and another for read-only access to customer Vaults via OAuth/OIDC.
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    MIT
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    Enables AI assistants to access and query Garmin Connect health and fitness data, including sleep, HRV, training load, and activities, with an optional coaching plugin for personalized training plans.
    Last updated
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