Exposes Garmin training data from an InfluxDB instance to AI assistants via the Model Context Protocol.
Sponsored
This tool is an optional, self-hosted Model Context Protocol (MCP) server designed to bridge your personal Garmin training data with AI agents and assistants. It seamlessly integrates as a companion add-on to existing garmin-grafana installations, directly reading from the InfluxDB instance where your fitness data is stored. Operating purely as a data access layer, it provides raw metrics and detailed activity information, empowering AI models to perform sophisticated analysis, interpretation, and personalized planning without making assumptions about your fitness objectives.
Key Features
01Supports both InfluxDB v1 and v2 configurations
02Configurable measurement and field names for schema compatibility
03Integrates with existing arpanghosh8453/garmin-grafana InfluxDB instances
04Provides comprehensive MCP tools to access activity, recovery, and fitness trend data
051 GitHub stars
06Self-hosted Model Context Protocol (MCP) server for Garmin data
Use Cases
01Analyze long-term fitness trends including VO2max, race predictions, and HR zone distribution for personalized training advice.
02Get weekly training load summaries, daily recovery insights, and analyze sleep patterns.
03Query your last activity details and compare performance against previous sessions.
