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How to give a local AI agent read-only access to your records with Zepp Bridge

Install the headless tools and connect an MCP client so it can query your local Zepp Bridge database.

Who it is forA developer or power user who runs an AI agent on their own machine and wants it to answer questions from their health history.

The problemAgents cannot reach health data stored in a desktop app, and copying exports into each conversation is slow and error-prone.

The outcomeAn MCP-compatible agent reads your local records in read-only mode and answers questions from the database without a network port.

What you need first

  • 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

Steps

  1. Download the zeppbridge-tools zip from the Releases page and unpack it, for example to /opt/zeppbridge.
  2. Sync your records in the desktop app first, or on the headless server using the CLI sync tool.
  3. Add a zeppbridge entry under mcp_servers in your MCP client configuration, with command, args and env set as the README shows.
  4. Set ZEPPBRIDGE_DATA_DIR to the absolute path of your data folder.
  5. Restart the MCP client and ask a question about a date range to confirm the server responds.

Prompt for your agent

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.

Caveat. The MCP server reads only the local database and needs no token, but it can only answer from what has already been synced, and publishing training plans through MCP needs a separate switch.

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