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Connect FitTrack so AI can securely query and log fitness data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FitTrack MCP Server" yet — see the docs or source repo.
After validating my short-lived FitTrack access token, call recent_workouts and summarize my last 7 days of workouts, duration, calories burned, and key trends.
A summary of recent workout records including workout types, frequency, duration, and brief trend analysis.
Please validate my FitTrack access token first, then call today_nutrition and tell me my calories, protein, carbs, and fat for today, and whether I am close to my goals.
An overview of today's nutrition intake with a short comparison against target goals.
After validating my short-lived FitTrack token, log a fitness entry for today: evening run, 5 km in 32 minutes, and confirm whether it was saved successfully.
The fitness entry is logged and a confirmation or failure reason is returned.
Securely access user fitness profiles, progress, and health logs via MCP tools.
Analyze fitness performance and wellness trends from Strava and intervals.icu data.
Access Fitbit API data with OAuth, caching, and trend analysis via MCP.
Use natural language to access and manage MyFitnessPal health tracking data.
Access and analyze Fitbit health data through natural-language AI interactions.
Access and log Fitbit health data, including meals from photo analysis.