"The most widely used models" matching MCP servers:

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.

Enables read-only interaction with DHIS2 health data by searching indicators and querying compact analytics results, designed for small local models.

Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.

Turns any AI assistant into a physiological AI running coach by abstracting fitness APIs and exposing 70+ structured analytical MCP tools based on endurance models.

Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.

A standalone Model Context Protocol server that enables AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API data, including medicine listings, pricing, and availability information.

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.

Brings Garmin training data into Claude via Intervals.icu, enabling querying of activities, wellness, and planned workouts, as well as creating structured workouts that sync back to the Garmin watch.

A read-only MCP server for the Apex Rides API, deployed as a Cloudflare Worker, providing tools to browse popular classes, search workouts, get class details, and list instructors.

An MCP server featuring an interactive React UI for Garmin Connect integration. It allows users to access and interact with Garmin fitness and health data through the Model Context Protocol.

A server that connects to the Health Planet API to fetch and provide weight measurement data through any MCP-compatible client, allowing for retrieval and analysis of personal weight records.

Enables natural language queries about UK Health Security Agency (UKHSA) data through the Pipeworx MCP gateway, with no API key required.

Enables an Alexa+ assistant to answer home-care questions while keeping protected values off the spoken channel, delivering sensitive details privately to the asker's own device via an out-of-band inbox.

Enables LLMs to configure the TerraAPI dashboard by managing health and fitness integrations, destinations, and provider credentials. It allows users to programmatically interact with the Terra ecosystem to handle developer settings and data source configurations.

A Model Context Protocol server that provides health data from the Senechal API to LLM applications, enabling AI assistants to access, analyze, and respond to personal health information.

Provides access to the Spoonacular food API for recipes, nutrition, ingredients, and meal plans.

A Model Context Protocol server that enables language models to interact with Strava data, including activities, athlete statistics, routes, achievements, and social features.

Official MCP server for Safe Mind, the German platform for the legally required psychological risk assessment (Gefährdungsbeurteilung psychischer Belastung). 12 tools: account onboarding, departments and locations, survey drafts, and anonymity-protected aggregated analytics that never return groups below the minimum size.

Provides LLMs with access to Oura Ring health data including sleep metrics, activity tracking, heart rate, readiness scores, and other wellness insights through the Oura API v2.