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URL: https://glama.ai/mcp/servers/integrations/fitbit

⇱ Fitbit | Glama

  • Why this server?

    Retrieves health and fitness data from a user's Fitbit account, including weight measurements, sleep logs, and user profile information. Currently supports endpoints for weight data by period, sleep data by date range, and profile details, with planned support for steps, heart rate, and activity data.

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    A Model Context Protocol server that bridges LLMs (like Claude) with the Fitbit API, allowing the LLM to request and retrieve user health and fitness data through defined tools.
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  • Why this server?

    Enables reading user-authorized health data from Fitbit devices through the Google Health API, such as steps, sleep, heart rate, and exercise.

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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.
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  • Why this server?

    Provides tools to sync, query, and analyze Fitbit data including heart rate, activity, sleep, weight, SpO2, and HRV, with local caching for offline access and trend analysis.

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    MCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.
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    GPL 3.0

  • Why this server?

    Provides tools for accessing Fitbit activity, sleep, heart rate, HRV, SpO2, weight, and other health data from a Fitbit account.

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    Local-first MCP server that connects AI agents to your Fitbit activity, sleep, heart-rate, HRV, SpO2 and weight data.
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  • Why this server?

    Provides access to Fitbit health and fitness data including activity tracking, sleep logs, heart rate, steps, body measurements, food and water logs, lifetime statistics, device information, and earned badges through Fitbit's public API.

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    A Model Context Protocol (MCP) implementation for Fitbit, enabling AI assistants to access and analyze your Fitbit health and fitness data. Disclaimer: This is an unofficial integration built using Fitbit's public API and is not affiliated with or endorsed by Fitbit Inc.
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  • Why this server?

    Provides tools to read and write Fitbit health data, including activity, heart rate, sleep, body metrics, nutrition, SpO2, respiratory rate, skin temperature, HRV, VO2 Max, and device information. Also supports logging meals via photo analysis.

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    This MCP server enables Claude to access and log Fitbit health data, including activity, sleep, heart rate, and nutrition, with the ability to log meals by analyzing photos through Claude's vision capabilities.
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    MIT

  • Why this server?

    Retrieves health data from Fitbit devices (steps, distance, heart rate, sleep, etc.) unified through Google Health.

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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.
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    MIT

  • Why this server?

    Accesses and processes activity, sleep, and health data from Fitbit for training and recovery analysis.

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    Connects AI assistants to fitness data from over 150 wearables including Strava, Garmin, and Fitbit through the Model Context Protocol. It provides 47 tools for sports science-based analysis, training load management, recovery tracking, and personalized nutrition planning.
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  • Why this server?

    Used as an example product in product search and checkout demonstrations.

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    Provides production-ready examples of MCP servers that demonstrate building rich, interactive UI components for ChatGPT, including authentication flows, product search with carousels, shopping cart checkout, and membership signups with state management.
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