What do you want to do?
5 use cases
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Ask an AI to explain your sleep and training trends
Sync your Zepp records locally, pick the dates you care about, and get a Markdown file to discuss with your AI.
- Zepp Bridge
- Data and analytics
- Beginner
View prompt
Using the ZeppBridge MCP server in <path to your MCP client config>, query my sleep and workout records for <date range> and summarise the changes in resting heart rate, HRV and training load. Expected output: a short written summary with the dates used. Verify that any date without samples is reported as missing, not treated as zero.
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Turn an AI coaching reply into a plan on your watch
Paste an AI-written week of workouts into Zepp Bridge, adjust each session, and send it to a compatible watch.
- Zepp Bridge
- Data and analytics
- Intermediate
View prompt
Using the ZeppBridge repository, draft a seven-day running plan for <athlete goal> based on my records from <date range>, in the format ZeppBridge accepts. Expected output: a plan file ready to paste into the app. Verify that rest and sleep suggestions are kept as notes only, since they are not sent to the watch.
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Give a local AI agent read-only access to your records
Install the headless tools and connect an MCP client so it can query your local Zepp Bridge database.
- Zepp Bridge
- Data and analytics
- Advanced
View prompt
Using the zeppbridge-mcp server configured in <path to MCP config>, list my workouts for <date range> and report total distance and training load. Expected output: a table of workouts with dates. Verify that the server only reads the local database and that no workouts outside the range are returned.
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Back up and export your full health history
Take verified database snapshots and export your records as JSON, CSV, GPX or FIT for safekeeping.
- Zepp Bridge
- Data and analytics
- Beginner
View prompt
Using the ZeppBridge repository, explain how to take a snapshot of my local health database and verify it. Expected output: a short checklist with the steps and where the snapshot is stored. Verify that the checklist mentions previewing differences before restoring.
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Run scheduled record syncs on a home server
Use the headless Docker image to keep your local library current without a desktop session.
- Zepp Bridge
- Data and analytics
- Advanced
View prompt
Using the ZeppBridge repository, read the Docker guide and list the files needed to run a headless sync on <server name>. Expected output: a checklist of files and where to place them. Verify that the checklist treats auth.json and the token as secrets to keep off shared storage.
How to use Zepp Bridge
- Check you have what it needs: A Zepp or Amazfit account you are entitled to access; A Windows, macOS or Linux computer to install the desktop app, or a server for headless use; An AI account of your choice, such as ChatGPT, Claude or DeepSeek, for the AI features.
- Open lingcang728/ZeppBridge on GitHub and read the README and license.
- Install Zepp Bridge for your system from the Releases page and open it.
- In Settings, open Account and devices, click Connect and finish the official Zepp authorization in your browser.
- Wait for the sync to finish, then check the overview for the records that were retrieved.
- Add the days, workouts and data categories you want to the collection box, write your question and check the coverage note.
These steps come from our top use case, Ask an AI to explain your sleep and training trends, which also has a copy-paste agent prompt.
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About this repo
- Who it is forZepp or Amazfit owners who want their health records on their own computer and want to review them with AI or plan training.
- Why it is hot
- LanguageTypeScript
- Sourcegithub.com/lingcang728/ZeppBridge · Back to Hot repos
Requirements
- A Zepp or Amazfit account you are entitled to access
- A Windows, macOS or Linux computer to install the desktop app, or a server for headless use
- An AI account of your choice, such as ChatGPT, Claude or DeepSeek, for the AI features
- A compatible watch and the Zepp app on your phone for sending training plans
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Questions about Zepp Bridge
What is Zepp Bridge?
ZeppBridge is a free, open-source desktop app that stores your Zepp / Amazfit health records locally, lets you explore trends, shares them with AI tools, and sends training plans back to your watch. It is an open-source project on GitHub: https://github.com/lingcang728/ZeppBridge.
Who is Zepp Bridge for?
Zepp or Amazfit owners who want their health records on their own computer and want to review them with AI or plan training.
What can I do with Zepp Bridge?
5 use cases so far, for example: Ask an AI to explain your sleep and training trends; Turn an AI coaching reply into a plan on your watch; Give a local AI agent read-only access to your records. Each has steps and a copy-paste agent prompt.
What do I need to run Zepp Bridge?
A Zepp or Amazfit account you are entitled to access; A Windows, macOS or Linux computer to install the desktop app, or a server for headless use; An AI account of your choice, such as ChatGPT, Claude or DeepSeek, for the AI features; A compatible watch and the Zepp app on your phone for sending training plans.
What are alternatives to Zepp Bridge?
Other hot AI repos in Data and analytics: Kronos, DBT Charts, Brandpose, Idx, Open Lakehouse Compute Fabric.
Is Zepp Bridge safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.