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Connect Dexcom CGM data for assistive diabetes management insights and monitoring.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Dexcom MCP Server" yet — see the docs or source repo.
After connecting my Dexcom data, read the last 24 hours of glucose records and summarize my current glucose level, trend, and any high or low risks.
A concise glucose trend summary describing current status, direction of change, and potential risk alerts.
Please analyze my Dexcom glucose data from midnight to 6 a.m. over the last 7 days, identify hypoglycemia periods and frequency, and provide discussion-ready observations.
A summary of overnight hypoglycemia patterns and frequency to help identify high-risk periods and support doctor discussions.
Using my Dexcom data from the last 14 days, create a pre-appointment summary including average glucose, variability, unusual periods, and suggested questions for my doctor.
A structured health summary that helps the user review key data and discussion points before a follow-up visit.
Access real-time Dexcom glucose data and recent readings through MCP clients.
Let AI access and analyze Garmin Connect fitness and health data.
Access and analyze Garmin fitness data to generate personal health insights.
Connect to the mcp API via MCP to extend AI tool capabilities.
Connect a local medical knowledge base for natural-language medical document querying.
Access real-time Garmin and Strava data to analyze training and suggest workouts.