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LibreLink MCP Server

LibreLink MCP Server

by amansk

LibreLink MCP Server

License: MIT Node.js Version TypeScript

A local Model Context Protocol (MCP) server that provides Claude Desktop with secure access to your FreeStyle LibreLink continuous glucose monitoring (CGM) data.

LibreLink MCP Demo

🌟 Features

  • Real-time glucose monitoring - Get current readings with trend arrows

  • Historical data analysis - Retrieve glucose history over customizable periods

  • Comprehensive analytics - Time-in-range, GMI, variability metrics

  • Pattern recognition - Dawn phenomenon, meal responses, stability analysis

  • Privacy-first design - All data stays local on your machine

  • Secure credential management - Local encrypted storage

  • Cross-platform health integration - Works alongside other health MCP servers

Related MCP server: Diabetes:M MCP Server

πŸ“‹ Prerequisites

  • LibreLink Account: Active FreeStyle LibreLink account with glucose data

  • Compatible Sensor: FreeStyle Libre 2 or 3 with data sharing enabled

  • Node.js: Version 18.0.0 or higher

  • Claude Desktop: For MCP integration

πŸš€ Quick Start

1. Installation

# Clone the repository
git clone https://github.com/yourusername/librelink-mcp-server.git
cd librelink-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

2. Configuration

# Configure your LibreLink credentials
npm run configure

You'll be prompted for:

  • Email: Your LibreLink account email

  • Password: Your LibreLink account password

  • Region: US or EU (based on your location)

  • Target ranges: Glucose target ranges (default: 70-180 mg/dL)

3. Test Connection

# Test your LibreLink connection
node test-real-connection.js

4. Claude Desktop Integration

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "librelink": {
      "command": "node",
      "args": ["/path/to/librelink-mcp-server/dist/index.js"]
    }
  }
}

5. Restart Claude Desktop

Restart Claude Desktop to load the new MCP server.

🩸 Usage Examples

Once integrated with Claude Desktop, you can ask:

Basic Glucose Queries

  • "What's my current glucose level?"

  • "Show me my glucose readings from the past 6 hours"

  • "What's my average glucose today?"

Analytics & Insights

  • "Calculate my time in range for this week"

  • "Analyze my glucose patterns and trends"

  • "Do I have dawn phenomenon?"

  • "How stable are my overnight glucose levels?"

Health Correlations

When combined with other health MCP servers:

  • "How does my sleep quality affect my glucose control?"

  • "Compare my glucose variability with my stress levels"

  • "Show the impact of my supplements on glucose stability"

πŸ›  Available MCP Tools

Tool

Description

Parameters

get_current_glucose

Real-time glucose reading with trend

None

get_glucose_history

Historical glucose data

hours (default: 24)

get_glucose_stats

Statistics and time-in-range

days (default: 7)

get_glucose_trends

Pattern analysis

period (daily/weekly/monthly)

get_sensor_info

Sensor status and info

None

configure_credentials

Update LibreLink credentials

email, password, region

configure_ranges

Set target glucose ranges

target_low, target_high

validate_connection

Test LibreLink connection

None

πŸ“Š Sample Output

Current Glucose Reading

{
  "current_glucose": 105,
  "timestamp": "2025-07-14T21:19:24.000Z",
  "trend": "Flat",
  "status": "Normal",
  "color": "green"
}

Glucose Statistics

{
  "analysis_period_days": 7,
  "average_glucose": 93.46,
  "glucose_management_indicator": 5.55,
  "time_in_range": {
    "target_70_180": 100.0,
    "below_70": 0.0,
    "above_180": 0.0
  },
  "variability": {
    "standard_deviation": 7.52,
    "coefficient_of_variation": 8.04
  }
}

Trend Analysis

{
  "period": "daily",
  "patterns": [
    "Good postprandial glucose control",
    "Excellent overnight glucose stability"
  ],
  "dawn_phenomenon": false,
  "meal_response_average": 0,
  "overnight_stability": 2.08
}

πŸ”§ Development

Running Tests

# Run all tests
npm test

# Test MCP protocol
npm run test:mcp

# Test analytics with mock data
npm run test:analytics

# Test with real LibreLink data (requires configuration)
node test-real-data.js

Building

# Build TypeScript
npm run build

# Type checking
npm run typecheck

# Development mode
npm run dev

Project Structure

librelink-mcp-server/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ index.ts              # Main MCP server
β”‚   β”œβ”€β”€ librelink-client.ts   # LibreLink API wrapper
β”‚   β”œβ”€β”€ glucose-analytics.ts  # Analytics and statistics
β”‚   β”œβ”€β”€ config.ts             # Configuration management
β”‚   β”œβ”€β”€ configure.ts          # CLI configuration tool
β”‚   └── types.ts              # TypeScript definitions
β”œβ”€β”€ config/
β”‚   └── default.json          # Default configuration
β”œβ”€β”€ test-*.js                 # Test suites
β”œβ”€β”€ package.json
└── README.md

πŸ”’ Security & Privacy

Data Privacy

  • Local processing only - No data sent to external servers

  • Your data stays on your machine - Complete privacy control

  • No analytics or tracking - Zero telemetry

Credential Security

  • Local storage - Credentials stored in ~/.librelink-mcp/config.json

  • File permissions - Automatically set to user-only access (600)

  • No cloud storage - Never uploaded or shared

Security Best Practices

# Verify file permissions
ls -la ~/.librelink-mcp/config.json
# Should show: -rw------- (user read/write only)

# Optional: Encrypt config directory
# (Implementation details in documentation)

⚠️ Important Notes

  • This project uses an unofficial API through reverse engineering

  • Not affiliated with Abbott or FreeStyle Libre

  • Use at your own discretion and ensure compliance with LibreLink terms

  • API may change - community maintained compatibility

Data Sharing Requirements

  • Ensure your LibreLink app has data sharing enabled

  • Your sensor must be active and transmitting data

  • LibreLink account (not LibreLinkUp) credentials required

Sensor Compatibility

  • βœ… FreeStyle Libre 2

  • βœ… FreeStyle Libre 3

  • ❓ FreeStyle Libre 1 (may work, not tested)

πŸ› Troubleshooting

Common Issues

"No connections found"

  • Verify you're using LibreLink (not LibreLinkUp) credentials

  • Check that data sharing is enabled in your LibreLink app

  • Ensure your sensor is active and connected

"Authentication failed"

  • Double-check email and password

  • Verify correct region (US/EU)

  • Try logging into LibreLink app to confirm credentials

"Connection timeout"

  • Check internet connection

  • Verify LibreLink service status

  • Try again after a few minutes

Getting Help

  1. Run diagnostics:

    node diagnose-account.js
  2. Check logs: Look for error messages in the console output

  3. Test connection:

    node test-real-connection.js
  4. Open an issue: Include diagnostic output and error messages

🀝 Contributing

We welcome contributions! Please:

  1. Fork the repository

  2. Create a feature branch: git checkout -b feature/amazing-feature

  3. Make your changes with tests

  4. Follow the existing code style

  5. Submit a pull request

Development Guidelines

  • TypeScript required - Maintain type safety

  • Test coverage - Add tests for new features

  • Documentation - Update README for new functionality

  • Security first - Never commit credentials or sensitive data

πŸ“œ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

  • libre-link-unofficial-api - Community-maintained LibreLink API client

  • MCP Protocol - Anthropic's Model Context Protocol

  • FreeStyle Libre Community - Inspiration and reverse engineering efforts

  • Open Source Diabetes Projects - Nightscout, OpenAPS, and others

⭐ Support

If this project helps you manage your diabetes with AI assistance, please:

  • ⭐ Star the repository

  • πŸ› Report issues you encounter

  • πŸ’‘ Suggest improvements

  • 🀝 Contribute to the project


Disclaimer: This is an unofficial project not affiliated with Abbott or FreeStyle Libre. Use responsibly and in compliance with applicable terms of service. Always consult healthcare professionals for medical decisions.

Available Tools

8 tools
configure_credentialsA

Set up or update your LibreLink account credentials for data access. Required before using any glucose reading tools. Credentials are stored securely on your local machine only.

Inputs: email (required), password (required), region.

configure_rangesA

Customize your target glucose range for personalized time-in-range calculations. Standard range is 70-180 mg/dL, but your healthcare provider may recommend different targets based on your individual needs.

Inputs: target_low (required), target_high (required).

get_current_glucoseA

Get the most recent glucose reading from your FreeStyle Libre sensor. Returns current glucose value in mg/dL, trend direction (rising/falling/stable), and whether the value is in target range. Use this for real-time glucose monitoring.

Inputs: no named parameters.

get_glucose_historyA

Retrieve historical glucose readings for analysis. Returns an array of timestamped glucose values. Useful for reviewing past glucose levels, identifying patterns, or checking overnight values. Default retrieves 24 hours of data.

Inputs: hours.

get_glucose_statsA

Calculate comprehensive glucose statistics including average glucose, GMI (estimated A1C), time-in-range percentages, and variability metrics. Essential for diabetes management insights and identifying areas for improvement.

Inputs: days.

get_sensor_infoA

Get information about your active FreeStyle Libre sensor including activation date, remaining lifetime, and connection status. Use this to check if sensor is working properly or needs replacement.

Inputs: no named parameters.

validate_connectionA

Test the connection to LibreLink servers and verify your credentials are working. Use this if you encounter errors or after updating credentials. Returns success/failure status.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.1/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes: current glucose, history, stats, trends, sensor info, credentials, ranges, and connection validation. However, get_glucose_stats and get_glucose_trends both perform analysis on glucose data and could be confused by an agent, though their descriptions clarify the difference.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with lowercase and underscores: get_* for data retrieval, configure_* for setup, and validate_connection for testing. No mixed conventions or inconsistent verb styles.

    Tool Count5/5

    The 8 tools are well-scoped for a glucose monitoring server. Each tool addresses a distinct need: current reading, history, statistics, trends, sensor information, credential setup, range configuration, and connection validation. No redundant or unnecessary tools.

    Completeness4/5

    The tool set covers core glucose monitoring workflows: reading current values, retrieving history, calculating stats, analyzing trends, and checking sensor status. Configuration and connection validation are also included. A minor gap is the lack of a tool to filter history by specific time ranges, but the default 24-hour window is likely sufficient for most use cases.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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