"Guidance on orchestrating new software projects" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Talk to your own gym log. Reps is a free workout tracker for iPhone and Android; connect it to Claude, ChatGPT or any MCP client and ask about your workout history, personal records, exercise progression, weekly summaries, routines and training plan. The assistant can also save a new routine, edit one, save a whole plan, add custom exercises and exercise notes, always after you confirm in the chat. It cannot log a workout or delete your history. Requires a free Reps account created in the app; you sign in with a one-time email code.
Read your workouts, history, and stats; create and schedule new workouts. Writes are additive only.
List, fetch, create, edit (replace), delete and schedule structured workouts on Garmin Connect (runn
Garmin data in Claude & ChatGPT via the Garmin Health API. OAuth sign-in, no password sharing.
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.
Etapa is an AI cycling coach for beginners. The MCP exposes two tools: `generate_training_plan` (2-4 week plans powered by the Etapa API) and `cycling_beginner_guide` (advice on bikes, gear, safety). Free, no account.
AI cycling coach — training plans and beginner guidance via the Etapa API.
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.
Your AI writes training plans that arrive as structured workouts on iPhone and Apple Watch.
