An MCP server that gives LLMs access to Garmin Connect data, including training, recovery, sleep, stress, VO2 Max, and running summaries for personalized fitness advice.
An MCP server that transforms Garmin data into compact, verdict-first coaching reports for LLMs, computing metrics like CTL/ATL/TSB and ACWR to answer training readiness questions.
A Model Context Protocol server that integrates Garmin Connect data with LLMs to provide personalized running analysis and training plans. It enables users to monitor performance metrics, manage training loads, and receive data-driven workout suggestions based on health indicators like VO2 Max and recovery status.
MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.
An AI training coach MCP server that integrates with Garmin Connect to provide science-based load management, code-enforced injury gates, and persistent coaching memory, keeping data local.
An autonomous MCP server that polls Garmin LiveTrack data during races, stores time-series metrics in SQLite, and triggers periodic Claude analysis for real-time coaching feedback.