Gemini

Connect Google Gemini to your health data and log it all by chat.

Wellness Project 连接到 Google Gemini as a custom app in Gemini Spark, Google’s personal intelligence surface. Tell Gemini what you ate, how you trained, or how you slept and it lands structured in the right tracker, then Gemini reads your trends back when you ask. It’s the same OAuth-protected MCP server Claude, ChatGPT, Grok, and Le Chat use, and there is no API key or Client ID to paste.

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经独立安全认证

传输与存储均加密。我们绝不出售你的健康数据。随时导出或删除所有数据。我们如何保护你的数据

里面有什么

Gemini as the front-end for logging and tracking your health

日志meals from Gemini

"Log lunch: chicken burrito bowl, rice, and guac." Gemini hands it to Wellness Project, which estimates the calories and macros and files it in your nutrition log. No label-scanning, no forms.

记录训练和跑步

"Log my push day: bench 4x6 at 195, OHP 4x8 at 115." Gemini structures the sets and reps; Wellness Project saves the session, keeps your volume history, and detects PRs.

记录睡眠、体重及更多

Most modules Wellness Project tracks are callable from Gemini: sleep, body weight, supplements, recovery, wellbeing, runs, lab results. It becomes a general health log, not only a training tracker.

Read your data in Gemini

询问 "how did training look this week?" or "is my HRV up?" and Gemini queries Wellness Project for the real figures from your own logs and synced wearables, instead of answering in generalities.

No API key, no Client ID

Our registration endpoint is open (Dynamic Client Registration, RFC 7591), so Gemini registers itself on first connect. You paste one URL and sign in; the Client ID and Client Secret fields, if your client shows them, stay blank.

Google is named, and you can cut it off

The authorization screen tells you the data will be handled by Google under your agreement with Google, and every connection shows up under Settings, Devices & Integrations, Connected AI assistants with a Disconnect button that revokes read and write access on the next request.

一步一步来

Connect Gemini Spark in five steps

1
打开Gemini Spark
Go to gemini.google.com/spark and sign in with the Google account you use for Gemini.
2
打开Connected apps
In Spark, open Settings → Personal intelligence → Connected apps. This is where Spark lists the apps it is allowed to reach.
3
添加自定义应用
Choose Add a custom app. Spark asks for the address of the app you want to connect.
4
粘贴 MCP 服务器网址
Enter wellnessproject.ai/api/mcp and follow the prompts. There is no Client ID or Client Secret to enter, because the connector registers itself.
5
登录以授权
A Wellness Project sign-in and approval screen opens. Sign in with the same account you use in the app, approve, and Gemini loads the tool list. Then just say things like "log my workout" or "what did I eat yesterday?"

在 App 中

Gemini can already talk about fitness. This is what makes it remember.

询问 Gemini for a meal plan or a training block and you get one, but nothing persists: the next conversation starts from zero, and none of it becomes a trend. Wellness Project is the missing half. Connect it once as a Spark custom app and every meal, set, and night of sleep you mention is 已记录并保留 in your own account, so it compounds into history you can ask about later.

The connection is a two-way MCP link. Gemini writes to your tracker when you log and reads from it when you ask, and what it reads includes everything already syncing in: Fitbit, Oura, Withings, Apple Health, and Google Health Connect, the Android hub Pixel and Samsung watches write to. It’s the same /api/mcp endpoint and the same tool set every other assistant reaches, so your data layer is identical no matter which one you prefer.

One thing to expect during setup: the authorization screen says Wellness Project doesn’t recognize the app and names the host that will receive your data. That notice is informational and expected here, because Google doesn’t publish a fixed callback host for its connectors. The generic protocol details are at Settings → Connect any MCP client, and the same server also works with Claude, ChatGPT, Grok、和 Mistral Le Chat.

常见问题

How do I connect Google Gemini to a fitness tracker?

In Gemini Spark (gemini.google.com/spark), open Settings → Personal intelligence → Connected apps → Add a custom app, enter wellnessproject.ai/api/mcp, and follow the prompts. A Wellness Project sign-in screen opens; approve it with the same account you use in the app and Gemini loads the tools.

Do I need an API key or a Client ID for Gemini?

No. Our registration endpoint is open, so a compliant client registers itself on first connect and there is no key to generate. If a field asks for a Client ID or Client Secret, leave it blank. Your account is identified when you sign in, over OAuth with PKCE.

Why does the authorization screen say Wellness Project doesn't recognize this app?

Because Google does not publish a fixed OAuth callback host for its connectors, so we cannot positively attribute the request to a specific product. The notice is informational, not a warning that something is wrong: it names the exact host that will receive your data so you can check it looks like Google before approving.

Can Gemini log my meals and workouts, or only read them?

Both. Gemini writes to your account when you log a meal, a workout, sleep, weight, or a supplement, and reads back the same data when you ask about a trend. Correcting and deleting entries works from the conversation too.

Does this work with my Android health data?

Yes. Anything already syncing into Wellness Project is readable from Gemini, including Google Health Connect, the Android hub that Pixel, Samsung Health, and most Android trackers write to, plus direct connections like Fitbit, Oura, and Withings.

Is my data shared with Google?

Only the slice Gemini pulls during your active conversation. We do not batch-export your data; the model reads the specific rows it asks for, when it asks, over a connection you can revoke at any time from Settings, Devices & Integrations.