"Campaign Monitor" matching MCP servers:

MCP server for Dexcom CGM glucose data, enabling AI agents to access and analyze continuous glucose monitor readings for health intelligence applications.

Aggregates and analyzes fitness data from multiple sources like Whoop and Strava through a modular adapter architecture. It enables users to monitor health metrics, track activities, and gain insights into sleep, recovery, and training performance.

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

Enables AI assistants to access and analyze Continuous Glucose Monitor (CGM) data from Nightscout, providing real-time readings, history, and analytics.

A Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.

Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.

Enables users to track daily calorie consumption by logging meals through natural language and searching a comprehensive food database. It provides daily summaries, weekly reports, and persistent SQLite storage to monitor dietary trends and goals.

Enables AI agents to start, configure, and monitor simulated Bluetooth LE fitness devices such as smart trainers, power meters, speed/cadence sensors, and heart rate monitors over real Linux BlueZ radios via stdio or HTTP.

A Model Context Protocol (MCP) server that connects Claude to your personal Dexcom CGM (Continuous Glucose Monitor) for assistive diabetes management intelligence.

Enables reading real-time continuous glucose monitor data from Dexcom sensors via the Share API, allowing Claude to access glucose levels, trends, and statistics.

Provides access to Dexcom G7 continuous glucose monitor data, enabling AI assistants to retrieve current glucose readings and historical data.

Enables Type 1 diabetes patients and caregivers to monitor real-time blood glucose from Dexcom Share, calculate insulin doses, and receive empathetic AI-powered sick day care guidance through natural language interactions.