Leo Training MCP server

Coach Leo — AI Running Coach

An AI running coach that reads your real training from Strava, Suunto, Polar, Apple Health or Health Connect, builds plans from your actual history, and adapts daily to how you actually feel. Available on iOS, Android, on the web, on Telegram, and as an MCP server for ChatGPT, Claude, and Mistral. Every recommendation draws from 250+ peer-reviewed sports science papers across 13 research domains.

Try it free · About · Lab (free science Q&A) · MCP Documentation · Smithery

What is Coach Leo?

Coach Leo is a full AI running coach application at coachleo.ai. It connects directly to Strava, Suunto or Polar — or imports from Apple Health on iOS and Health Connect on Android — reads your real training history (pace, heart rate, elevation, cadence), and uses specialized coaching tools to make decisions, like a real coach with access to your training diary.

Leo is not a chatbot that generates generic plans from what you type. He deduces your training patterns from your data, derives your actual paces from 8 weeks of history, and adapts your plan daily through conversation.

How to get started

1. Create an account at coachleo.ai or download the application — email, Google, or Sign in with Apple
2. Connect your Strava account (read-only)
3. Start chatting — Leo already knows your training

What makes Leo different

Data-first coaching

Leo never asks "what's your weekly mileage?" — he already knows. Strava activities arrive in real time via webhooks, within seconds of your watch syncing. When you open a conversation, Leo has already analyzed your last 10 activities, your training load, your acute-to-chronic workload ratio (ACWR), and your weekly patterns.

Plans built from YOUR actual paces

Leo derives your easy, tempo, interval, and long-run paces from 8 weeks of real training data. No generic templates. Your Zone 2 pace comes from YOUR heart rate and pace distributions.

Plans that fit your life

Hard constraints are enforced, not just preferences. "I can only run Tuesday, Thursday, and Sunday", "maximum 40km per week", "no intervals" — Leo respects these in every plan. When your schedule changes, Leo restructures through conversation while keeping it coherent with your race goal.

Readiness by feel, not by sensor

Fatigue and readiness are read from how you actually feel, through conversation and a one-tap effort log — not from HRV straps or sleep wearables. A short check-in is enough for Leo to adjust today's session.

Multi-indicator overtraining prevention

Leo never relies on a single metric. He cross-references ACWR trends, volume increase speed, rest days, subjective fatigue, recurring body signal patterns, and plan adherence. Response is graduated: observation, session modification, week restructuring, professional referral.

Biomechanical shoe wear analysis

Not just mileage tracking. Leo inspects 6 wear zones (outsole, lateral midsole, medial midsole, upper, heel, insole) with visual scoring. Wear patterns reveal biomechanical signals — pronounced medial wear suggests overpronation, which feeds back into body signal tracking.

Race preparation with web search

Say "I'm doing the UTMB CCC" and Leo searches the web for real race data: date, distance, elevation, terrain, participants, GPX file. No manual entry. Leo then analyzes the GPX profile and predicts your finish time using multiple models (VDOT, Riegel, Cameron, Tanda).

Shortened. The full README is on GitHub.