TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
Evidence-based AI coach for endurance training. Protocol-driven. Deterministic guidance for any LLM, with Intervals.icu integration.
The open-source alternative to TrainingPeaks. Self-hostable endurance training platform. Your data stays yours.
🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.
Deterministic endurance coaching engine using Intervals.icu data, governed training logic, performance intelligence, adaptation progression and AI interfaces.
Own your training data! Open-source, self-hosted training log & analytics. Calendar, fitness/fatigue/form, dashboards, zones, peak curves & intervals.icu sync.
Local MCP server exposing your Intervals.icu training data to AI clients (Claude, etc.) — with server-side PMC / cardiac-decoupling math and a Stryd LBSS power extension.
🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.
Daily training-readiness score from Intervals.icu wellness data, pushed to your calendar.
Private, data-first training dashboard for your WHOOP data: sports-science load metrics, explainable daily call, and a full-history AI chat. Local-first, zero dependencies.
Self-hosted MCP server on your own Garmin data: mirrors Garmin Connect into PostgreSQL, computes training load and muscle freshness, and serves it to Claude, ChatGPT and other clients over stdio or HTTP.
Free, open-source training hub for cycling, swimming, running and lifting, on macOS, Windows or Linux, planned with your AI assistant. Your reports decide; your data stays on your computer.
Self-hosted cycling coach with a local LLM that never makes up a number — training load, overtraining detection & grounded AI advice.
Dependency-free toolkit for Bluetooth heart-rate data: BLE Heart Rate Service parser, idempotent SQLite store, and tested HRV (RMSSD, DFA-alpha1), sleep and training-load metrics with provenance. WHOOP compatibility research. Not affiliated with WHOOP, Inc.
Este repositorio recoge el código para el proyecto Trail Analytics: Exploración visual y modelado predictivo de carreras por montaña.
TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
Evidence-based Claude Code skill: Garmin FR570 → 4-tier daily training decision + 8-KPI weekly fat-loss review. 206 citations, deterministic decision tree, anti-overreach red lines.
TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
Curated research on training periodization: linear, undulating, block, conjugate, and polarized models. Tapering science, training load monitoring, and individualization evidence.
Unofficial Garmin Connect MCP server: training load, form and HRV readiness for Claude and other AI assistants, plus workouts sent to your watch.
To associate your repository with the training-load topic, visit your repo's landing page and select "manage topics."