MCP server for the Google Health API: log meals from photos via any AI agent, read sleep and activity. BYO Google Cloud credentials.
MCP server for the Google Health API: any AI agent with vision can log your meals (calories and macros) into Google Health, and read back your sleep, activity and nutrition to reason about them together.
Typical flow: you photograph your food and send it to your agent (Hermes Agent via Telegram, OpenClaw, Claude Desktop, Cursor...). The agent estimates the dishes and macros from the photo, calls logmeal, and a minute later the meal is in the Google Health app on your phone, next to your sleep and workouts.
And in the other direction — ask the agent "how was my last month?" and it pulls a day-by-day table (steps, calories in/out, macros, water, weight, resting heart rate, sleep, workouts) with a single gethealthoverview call, then reasons about it: whether protein is behind your target, how late meals correlate with bad sleep, whether the weight trend matches the calorie deficit. Say "I weighed in at 82.4" and it lands in Google Health via logweight.
Built for the new Google Health API (health.googleapis.com/v4) — the legacy Fitbit Web API shuts down in September 2026 and this server does not depend on it.
Why you need your own Google Cloud project (read this first)
This server has no "log in and go" button, and that is deliberate. Google classifies all health scopes as restricted:
- An unverified app is capped at 100 users for the lifetime of the Cloud project. The counter never resets. A single shared app published to npm would burn those slots within a day and die for everyone. - Removing the cap requires Google's Trust & Safety review plus a yearly CASA security au
From the project README.
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