"Microsoft Outlook Application or Email Service" matching MCP servers:

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 AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.

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.

Provides guarded access to the official Hevy fitness API, enabling users to list workouts and routines, search exercise templates, review exercise history, and create routines or workouts with explicit confirmation for writes.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.

Local stdio MCP server providing private Garmin coaching tools for Codex, ChatGPT desktop, and Claude, enabling preview and safe application of training weeks and heart-rate profile updates.

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.

Enables Claude, Cursor, or any MCP client to query your own recovery scores, sleep, strain cycles, workouts, profile, and body measurements through every WHOOP API v2 read endpoint. Tools return records exactly as WHOOP sends them, with paging and date-range filtering, and refresh tokens automatically after a one-time login.

Connects Claude or any MCP client to the Strava API v3, enabling access to fitness data such as activities, athletes, clubs, segments, routes, and streams.

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.

Connects to Garmin Connect and exposes your fitness and health data to OpenWebUI, Claude, or any MCP-compatible client via Streamable HTTP transport.

Plan structured workouts over MCP or REST and export them as Garmin FIT files.

Enables users to query Garmin health, activity, sleep, HRV, and training data through read-only MCP tools from ChatGPT or Codex.

An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.

Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.

Enables AI clients to create and manage multi-week running training plans, track workouts and activities, and pull calendar or CSV exports through the app's API. Supports plan generation with configurable goals, mileage, schedule, and intensity, plus updating workout status and recording completed runs.

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.