Fitbit Health MCP Server
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Alternatives to Fitbit Health MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceRead-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
- AlicenseAqualityCmaintenanceProvides 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.337 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude and other MCP clients to query your Fitbit/Pixel Watch health data via the Google Health API, including sleep, heart rate, activity, workouts, and trends with read-only access.6 npmMIT
- AlicenseAqualityBmaintenanceEnables 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.13Apache 2.0
- AlicenseBqualityBmaintenanceEnables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.26MIT
- AlicenseAqualityFmaintenanceAn MCP server that locally authenticates with Google Health API v4 and provides read-only access to Fitbit, Pixel Watch, and other health data for AI agents.29180 npm19MIT
TDQS
Scored across 6 tools
Most tools are clearly distinct (sleep, steps, HRV, health summary), but get_resting_heart_rate and get_heart_rate could be confused without careful reading. Descriptions clarify the difference well, avoiding major ambiguity.
All tool names follow a consistent `get_` prefix with snake_case metric names (get_sleep, get_steps, get_hrv). The abbreviation in get_hrv is a minor deviation but does not break the overall pattern.
Six tools is a well-scoped set for a health data server, covering core metrics without being overwhelming. Each tool serves a distinct purpose, and the count feels appropriate for the domain.
The server covers common Fitbit metrics (heart rate, HRV, sleep, steps) and includes a summary endpoint. Missing metrics like activity or calories are notable but not essential given the focus on health summary, so minor gaps exist but are workable.