$ loading_
Manage Garmin workouts and read activity and health data via a local MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "garmin-mcp" yet — see the docs or source repo.
Create a 45-minute running workout for Garmin Connect: 10-minute warm-up, then 6 rounds of 3-minute hard effort and 2-minute recovery, followed by a 5-minute cool-down, and preview it.
A Garmin Connect workout structure is created and a preview is returned.
Schedule the cycling workout I created yesterday for this Saturday at 7:00 AM and confirm whether it was added to my Garmin Connect schedule.
A confirmation that the workout was scheduled, or a status message if not.
Read my Garmin activities and health metrics from the last 7 days, then summarize daily workout count, total duration, and available key health data.
A structured summary of recent activities and health metrics is returned.
Developers or power users can create, preview, schedule, and manage Garmin Connect workouts through a local MCP server instead of doing everything manually in the app. It fits AI assistants and automation workflows for training planning.
Data analysts or product managers can read activity records and health metrics for quick review of recent fitness and body data. It is useful for personal data organization, trend checking, or downstream analysis workflows.
If you want to control Garmin Connect with natural language, this tool can serve as a local MCP interface so an AI assistant can create, preview, and schedule workouts for you. It brings fitness management into your everyday AI workspace.
It is a local MCP tool for creating, previewing, scheduling, and managing Garmin Connect workouts, while also reading activities and health metrics. It acts as an interface between an AI assistant and Garmin data or workout operations.
The description clearly says it works through a local MCP server, so it includes a local runtime component. For exact deployment steps and runtime requirements, see the source repository.
The provided material does not specify installation steps, runtime dependencies, or whether any keys are required. Please see the source repository for prerequisites.
Read Garmin activities and create structured workouts and training plans.
Expose Garmin Connect health and training data to MCP-compatible AI assistants.
Connect Garmin data for health analysis, workout planning, and coaching workflows.
Connect Garmin wellness metrics to AI for recovery-aware workload planning.
Connect Garmin data so AI can query health stats and manage workouts.
Query live Garmin health, fitness, sleep, and activity trends in natural language.