AI-powered coaching for runners, cyclists, swimmers, and triathletes, enabling personalized workouts, training plan adaptation, performance analytics, and AI coaching via Claude, MCP clients, or HTTP.
Connects AI assistants to fitness data from over 150 wearables including Strava, Garmin, and Fitbit through the Model Context Protocol. It provides 47 tools for sports science-based analysis, training load management, recovery tracking, and personalized nutrition planning.
A universal fitness intelligence layer for AI assistants like Claude, ChatGPT, and Copilot, enabling user profiles, workout/diet plans, calendar scheduling, and gamification via MCP and REST APIs.
An MCP server that exposes a runner's own training data — computed training load, race-time predictions, and generated plans — as tools an LLM can call for grounded coaching advice.
Enables LLMs to access and analyze biometric and training data via MCP, supporting queries on sleep, performance, nutrition, and training load to generate adaptive training insights.
Enables AI assistants to read Garmin activities and create/schedule structured workouts and multi-week training plans on Garmin Connect, syncing to the user's watch.