MCP Glucose Server

MCP Glucose Server

Enables AI assistants to query glucose data from health storage APIs, providing natural language access to glucose readings, trends, and statistics for diabetes management and health monitoring.

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README

MCP Glucose Server

A Model Context Protocol (MCP) server that provides glucose data query tools to AI assistants like Claude and ChatGPT. Connects to the health-data-storage API to retrieve glucose readings.

🎯 Purpose

This MCP server acts as a specialized interface between AI assistants and your glucose data. It provides natural language tools for querying glucose levels, trends, and statistics.

🏗️ Architecture Position

┌──────────────────────┐
│ health-data-storage  │
│  REST API            │
└──────────┬───────────┘
           │ HTTP GET
           ▼
    ┌──────────────┐
    │ mcp-glucose  │  ← YOU ARE HERE
    │ (MCP Server) │
    └──────┬───────┘
           │ MCP Tools
           ▼
   ┌───────────────┐
   │ Claude/ChatGPT│
   └───────────────┘

🔧 Available Tools

1. get_glucose_readings

Get glucose readings within a date range.

Parameters:

  • userId (optional): User identifier (defaults to USER_ID env var)
  • startDate (optional): Start date in ISO 8601 format
  • endDate (optional): End date in ISO 8601 format
  • limit (optional): Maximum number of readings (default: 1000)

Example queries:

  • "What's my glucose been like today?"
  • "Show me my glucose readings for the past week"
  • "Get my glucose levels from October 1st to October 22nd"

2. get_latest_glucose

Get the most recent glucose reading.

Parameters:

  • userId (optional): User identifier (defaults to USER_ID env var)

Example queries:

  • "What's my current glucose?"
  • "What was my last glucose reading?"
  • "Check my latest blood sugar"

3. get_glucose_stats

Get glucose statistics (count, average, min, max) for a time period.

Parameters:

  • userId (optional): User identifier (defaults to USER_ID env var)
  • startDate (optional): Start date in ISO 8601 format
  • endDate (optional): End date in ISO 8601 format

Example queries:

  • "What's my average glucose this week?"
  • "Show me my glucose stats for the past month"
  • "What was my glucose range yesterday?"

🚀 Setup

Prerequisites

  • Node.js 20+
  • Access to a deployed health-data-storage instance
  • API secret for authentication

Installation

# Install dependencies
npm install

# Build TypeScript
npm run build

Configuration

Create a .env file (or set environment variables):

STORAGE_API_URL=https://your-storage-api.run.app
API_SECRET=your-api-secret
USER_ID=user@example.com  # Optional default user

Usage with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "glucose": {
      "command": "node",
      "args": ["/path/to/mcp-glucose/build/index.js"],
      "env": {
        "STORAGE_API_URL": "https://your-storage-api.run.app",
        "API_SECRET": "your-api-secret",
        "USER_ID": "user@example.com"
      }
    }
  }
}

Restart Claude Desktop.

Usage with ChatGPT

(ChatGPT MCP support coming soon)

💬 Example Conversations

Once configured, you can ask Claude:

Simple queries:

"What's my latest glucose?"

{
  "value": 95,
  "unit": "mg/dL",
  "date": "2025-10-22T10:30:00Z",
  "source": "Lingo"
}

Time range queries:

"Show me my glucose for the past 24 hours"

{
  "count": 48,
  "readings": [
    { "value": 95, "unit": "mg/dL", "date": "2025-10-22T10:30:00Z", "source": "Lingo" },
    ...
  ]
}

Statistical queries:

"What's my average glucose this week?"

{
  "count": 336,
  "average": 98.5,
  "min": 75,
  "max": 125,
  "unit": "mg/dL"
}

Analysis queries:

"Analyze my glucose patterns over the last month"

Claude will use the tools to fetch data and provide intelligent analysis of your glucose trends, patterns, and insights.

🔗 Related Projects

  • health-data-storage: Storage backend that this server queries
  • health-tracking-app: iOS app that collects the glucose data
  • mcp-activity: (future) MCP server for activity/exercise data
  • mcp-nutrition: (future) MCP server for food/nutrition data

📈 Future Enhancements

Potential additions:

  • Trend analysis tools: Detect glucose spikes, patterns
  • Correlation tools: Compare glucose with meals, exercise
  • Alert tools: Notify when glucose is out of range
  • Export tools: Generate reports, charts
  • Multi-user support: Query data for multiple users

🛠️ Development

Local Testing

# Build
npm run build

# Run (will use stdio transport)
npm start

The server runs on stdio (standard input/output) as per MCP specification. Use it with Claude Desktop or the MCP inspector for testing.

Testing with MCP Inspector

npm install -g @modelcontextprotocol/inspector
npx @modelcontextprotocol/inspector node build/index.js

📝 License

MIT

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