"Understanding High-Level Control Systems" matching MCP servers:

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

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.

Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol to query workouts, build structured intervals, manage calendar, track fitness trends, and control training through natural conversation.

MCP server for integrating with the EVO gym management API, enabling access control, member management, activity scheduling, sales, and workout management through natural language.

Controls a KingSmith WalkingPad Z1 under-desk treadmill from a Mac over Bluetooth LE, with CLI and MCP server for status, start, stop, and speed control.

Connects agents and other MCP hosts directly to the official Hevy Public API for reading workouts, routines, exercise templates and history, routine folders, body measurements, and account information. Writes stay gated behind a server-level opt-in plus per-call confirmation, with credentials kept local via Keychain, an environment variable, or a key file.

A personal remote MCP gateway that exposes Garmin Connect, Home Assistant, and YouTube as MCP servers over HTTP, allowing Claude or any MCP client to query and control them from anywhere without local credentials. It includes a web UI for managing credentials and issuing API keys, with authentication delegated to an external SSO.

A BLE fitness device simulator that enables AI agents to control simulated heart rate monitors, treadmills, and cycling trainers via the Model Context Protocol. It integrates ESP32 firmware, an MQTT broker, and a FastAPI backend for comprehensive device management and real-time interaction.