"Trend Micro" matching MCP servers:

MCP server for the Fitbit Web API with OAuth PKCE, local cache, and trend analysis.

Provides read-only access to Withings health metrics including body composition, sleep, workouts, and ECG data with local SQLite caching and trend analysis. Features incremental synchronization, automatic OAuth token refresh, and supports all 200+ Withings measurement types for comprehensive health tracking.

MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.

Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.

Exposes WHOOP recovery, sleep, strain, and workout metrics to MCP-compatible AI assistants using OAuth 2.0 authentication, enabling daily wellbeing snapshots, trend analysis, and workload recommendations.

Provides access to body composition data from Renpho smart scales, enabling users to query weight, BMI, body fat percentage, muscle mass, and other health metrics with trend analysis over customizable time periods.

Enables AI assistants to read Apple Health data through a read-only MCP server, providing tools for current health status, sleep details, and trend summaries over 7, 14, or 30 days. Data is stored privately on Cloudflare and accessed with authentication.

Connects Claude to a user's Whoop account so it can retrieve recovery scores, HRV, sleep stages, strain, and workout history, plus trigger data syncs and OAuth authorization. Deployable as a self-hosted remote connector that caches 90 days of health data in SQLite for trend analysis.

Enables AI agents to query locally stored Samsung Health data—such as heart rate, sleep, steps, and workouts—through MCP tools for samples, daily summaries, and trend analysis while keeping everything on your own network.