Sweet by Metabolic Company of CalHacks

Dexcom CGM
Poke - MCP Automation
Flow Chart

Inspiration

Living with diabetes means juggling between multiple tasks everyday from checking glucose levels to calculating carbs to giving right dosing of insulin, all while trying to live normally. We thought, what if instead of using complex apps and manual tracking, you could simply text your phone like you're talking to a friend, and get instant, intelligent help with your diabetes management?

What it does

Sweet lets users manage diabetes through conversational text messages with an AI assistant. The AI analyzes meals, monitors glucose levels, and calculates insulin doses using real-time data integration. Users text the Poke AI to get instant health insights, and the system learns patterns over time to provide personalized recommendations.

Real-time Dexcom CGM integration
AI-powered meal analysis from photos
Personalized insulin dose calculations
Glucose pattern tracking based on food/activity and send alerts when needed
SMS-based conversational interface

How we built it

Sweet is built as an MCP (Model Context Protocol) server that integrates multiple APIs and AI services:

FastMCP Framework: Used FastMCP as the foundation for our MCP server, enabling seamless integration with Poke's conversational interface
Dexcom Integration: Connected to Dexcom's Share API for real-time CGM data retrieval and glucose trend analysis
AI-Powered Intelligence: Integrated Gemini API for NLP, food recognition, and personalized nutrition analysis
SMS Communication: Implemented Twilio for reliable text message alerts in an urgent situation
Python Backend: Built custom modules for insulin calculation algorithms, carb ratio management, and pattern recognition logic

Challenges we ran into

MCP Learning Curve: First-time developers struggling with Model Context Protocol architecture and tool structuring
Stateless Communication: Managing HTTP requests without persistent state for real-time health data
Multi-API Coordination: Synchronizing Dexcom, Gemini, and Twilio APIs in a single conversational flow
Medical Data Reliability: Ensuring accurate, safe handling of critical health information under all conditions. (Our tool is still in its early stages, so insulin dosage and macros predictions may not yet be fully reliable.)
Dexcom API Complexity: Navigating between Sandbox and Share APIs, understanding authentication flows, and parsing complex glucose data structures

Accomplishments that we're proud of

Seamless Multi-API Integration: Successfully unified Dexcom, Gemini AI, and Twilio into the MCP server
Natural Conversation Interface: Transformed complex diabetes management into simple text-based interactions
Adaptive Pattern Learning: Created a system that learns and personalizes to individual users over time
Real Impact Potential: Built something that could genuinely reduce the daily burden of diabetes management

What we learned

We learned that working with healthcare data requires serious responsibility. Even a tiny mistake can have big consequences. Our goal is to build something that genuinely helps people, but safety always comes first. Creating our first healthcare MCP taught us how important it is to spot patterns and use context, so our tool can truly support users where it matters.

What's next for Sweet by Metabolic Company of CalHacks

Multi-Platform Expansion: Bring Sweet to Discord, Slack, WhatsApp, and native mobile apps
Predictive Intelligence: ML-powered glucose forecasting and smart meal database that learns from users
Clinical Integration: Web dashboard with comprehensive weekly/monthly reports for patients, healthcare provider access. Connect Poke with closed loop insulin pump for insulin dosage automation.
Community Platform: Enable users to share interesting use cases and strategied they find while using the chat interface.

Disclaimer: Sweet is still in development. While real-time glucose data is pulled from your sensor, macro tracking and insulin dosage suggestions are early-stage and may not be fully reliable. Please do not rely on these features for critical decisions.