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Access and log Fitbit health data, including meals from photo analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fitbit-googlehealth-mcp" yet — see the docs or source repo.
Please read my Fitbit data for today and summarize steps, activity duration, sleep, average heart rate, and logged nutrition. Highlight any unusual or notable patterns in bullet points.
A daily health overview with key metrics and brief observations or suggestions.
Analyze this meal photo, identify the foods, and log them to my Fitbit nutrition diary. If portion sizes are uncertain, provide reasonable estimates and label them clearly.
A list of identified foods, estimated portions, and the logging result, including any uncertainties.
Please read my sleep and resting heart rate data from the past 14 days, summarize the trends, and point out any dates with insufficient sleep or notable heart rate changes.
A two-week trend summary of sleep and heart rate, highlighting dates and changes worth attention.
Give AI agents read-only access to Google Health and Fitbit data.
Access Fitbit API data with OAuth, caching, and trend analysis via MCP.
Query Google Health fitness data in natural language for quick personal insights.
Access Google Health metrics and optionally sync them into Obsidian notes.
Securely access user fitness profiles, progress, and health logs via MCP tools.
Connect health data sources to AI for queries, analysis, and wellness insights.