"Connecting Docker to Cursor" matching MCP connectors:

Wger MCP — wraps wger Workout Manager REST API (free, no auth for read)

AI soigneur for cyclists: Strava ride to an Ien-Vitse-validated nutrition plan + orderable box.

Free nutrition and fitness tools for AI assistants. It helps you track calories, macros, goals, workouts, body measurements, and barcode-scanned foods, then lets your AI use that real context to answer questions like what you ate today, how much protein you are missing, what dinner fits your remaining calories, or how your weight is changing.

The first strength-training app Claude can write to — reads real workout history, writes planned workouts back. First-party, OAuth 2.1, free.

First strength app Claude can write to: plan training in chat, it lands in the app ready to log.

Connect ChatGPT or Claude to your Gym Plus account to log and review workouts with AI coaching.

Connect Claude to your Intervals.icu watch data for fitness, workout review, and plan writing.

Body composition for AI: BMI, body fat, FFMI, waist-to-height, plus saved measurement trends.

This unofficial MCP server provides secure access to your Hevy fitness data through the Hevy API. AI assistants can analyze your workout history, manage routines, track progress, and help you plan future training using your real fitness data.

Use TrueCal from AI agents to review progress, meals, targets, trends, and supported updates.

Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport. Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.

Hosted Strava MCP server that gives each user a personal URL to paste into Claude or ChatGPT. Ask about your training in plain English — pace, heart rate, overtraining, trends. More info and sign-up at https://askyourdata.health

LoseStreak is an iOS competitive-fitness app where users challenge friends to 1v1, free-for-all, or team battles across 23 challenge types — bodyweight reps counted on-device with pose estimation, runs/lifts/cycling auto-synced from HealthKit, meals logged via AI image scanning, with an AI-generated verdict at competition end.

A paid remote MCP for SREGym, built to return verdicts, receipts, usage logs, and audit-ready JSON.

Oura MCP server for chatting to your Oura data. Ships with daily summaries, recommendations, and direct access to all API enabled data.