"Using a cursor to code or implement functionality" matching MCP servers:

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.

Enables users to access and query Oura ring health data, including sleep periods, readiness, activity, workouts, heart rate, stress, SpO2, resilience, and more, through Claude.ai or Claude Code using the Oura API v2 with OAuth 2.1 login.

MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.

Enables Claude to manage MyFitnessPal food diaries, nutrition goals, exercises, body measurements, and water intake via a remote MCP server using session cookie authentication.

Connects Claude to your Strava account so you can query your activities, stats, routes, and segments using natural language.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

Enables AI assistants to search foods and recipes, track diet, manage weight, and log exercise using the FatSecret Platform API.

Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.

An MCP server that provides access to Garmin Connect fitness, health, and training data through 61 specialized tools. It enables users to query activities, sleep metrics, and performance stats directly within AI clients like Claude or Cursor.

Apple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.

Enables Claude Code to securely read your Garmin Connect health, training, and workout data through a local stdio server, with an optional allow-listed path for creating and scheduling workouts.

A Model Context Protocol server that provides language models with access to Strava API data, allowing them to query and analyze athlete activities from Strava.

Enables AI assistants to analyze sleep quality, compare nights, generate reports, and get personalized improvement tips using Sleepon sleep tracker data.

This MCP server exposes read-only Apple Health data to AI assistants via three tools (health_now, health_detail, health_trends), deployable to Cloudflare with a one-click button and no coding required.

Exposes read-only Apple Health data (current status, sleep details, trends) to AI via a Cloudflare-deployed MCP server and iPhone Shortcuts.

Enables Claude to access your MyFitnessPal diary—foods, portions, meal and daily nutrition totals, water, exercise, steps, and weight—through a custom connector on web, desktop, and mobile.

A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.