Provides local caching, synchronization, and Model Context Protocol (MCP) access for Zepp Life fitness and health data.
Sponsored
The Zepp Life project serves as a Model Context Protocol (MCP) server designed to provide Zepp Life fitness and health data to AI clients. It offers robust data management capabilities, including local caching and synchronization, sourcing data directly from either user-exported Zepp Life files or through a cloud session utilizing an apptoken. This tool specifically targets common health metrics such as steps, daily activity, sleep patterns, heart rate, workouts, and body measurements, enabling users to integrate their personal health data into advanced AI-powered workflows for analysis, querying, and personalized insights.
Key Features
01Covers key health metrics: steps, sleep, heart rate, workouts, body measurements
020 GitHub stars
03Provides data through an MCP server interface
04Supports data ingestion from Zepp exports or cloud sessions
05Securely stores `apptoken` using system keyring
06Local caching and synchronization for Zepp Life data
