"Pro Tools" 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 retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

Fitness AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables real-time Apple Watch heart rate monitoring via MCP tools, reading data from macOS HealthKit.

Calculate TDEE & macro targets, look up food nutrition data, generate meal plans, fix nutrient deficiencies, and score a day's eating from 0–100. Free nutrition tools for AI assistants.

An MCP server that exposes the Hevy fitness API as 22 tools, enabling AI agents to manage workouts, routines, exercise templates, and body measurements through natural language.

Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.

This server lets Claude, Cursor, or any MCP client read a user's own health and fitness data through 26 read-only tools for activities, sleep, HRV, Body Battery, stress, steps, heart rate, weight, nutrition, and women's health. It connects via the official Personal API and can be self-hosted for free on Vercel.

Enables chat to query cycling training data from Intervals, including athlete profiles, activities, wellness, and calendar events, via read-only tools.

A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).

A stateless MCP server that exposes tools for evidence-based strength training, including classical powerlifting programs and fatigue management.

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 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 personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.

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.

Enables AI assistants to read, log, edit, and analyze workouts, routines, body weight, media, and personal records on a self-hosted openGym instance through its own HTTP API. Writes are scoped to requested changes with automatic backups and conflict detection, and tools are grouped into read, write, delete, and admin permission tiers.

Enables connecting your own Google Health account to an MCP client through local OAuth, exposing 17 read-only tools for metric discovery, daily and recent summaries, trends, sleep, activity, recovery, body metrics and data quality. All access is observation-only, with request bounds and no create, update or delete capabilities.

MCP server that provides local caching, sync, and tools for Zepp Life health data including steps, sleep, heart rate, workouts, and body measurements, supporting both file exports and cloud session access.

Enables MCP clients to interact with the Strava REST API through tools generated from Strava's official Swagger spec, supporting OAuth, activity and athlete data retrieval, and configurable write/delete operations.

Enables Claude to answer trail and ultra running questions from a local DuckDB warehouse built from Garmin FIT files, with 29 parameterised tools that compute running-only pace by grade, matched-terrain heart rate drift, segment comparisons and training load, each result stating its filters and exclusions.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

A Model Context Protocol server that enables AI assistants to access Oura Ring health data including sleep, activity, readiness, heart rate, and stress through read-only tools.

Garmin Connect for AI assistants: sleep, HRV, training readiness, activities, workouts and weight across 193 tools. Unofficial; run it locally or use the free hosted connector.

Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.

Connects Aidlab wellness data to AI tools through MCP, providing read-only access to daily summaries, steps, heart rate, HRV, sleep, activities, and profile with OAuth authentication.

Official JustGains MCP server: lets AI agents build and save workouts, read training history and progress, search exercises, plan routes, and log meals and bodyweight in a JustGains account. A TypeScript stdio server on the MCP SDK with OAuth sign-in, serving the same tools as the hosted JustGains endpoint.

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.

Enables MCP-compatible AI clients to read and write wearable data through Whoop's private iOS API, covering recovery, sleep, strain, journal, strength training, live heart rate, and more via 55 tools. Write operations default to a preview gate requiring explicit confirmation.

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.