Analyze your data from Garmin, Suunto, Coros to one centralized app
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Updated
Sep 21, 2026 - TypeScript
Analyze your data from Garmin, Suunto, Coros to one centralized app
Read/write MCP server for Intervals.icu — training data, planning, and structured workout generation.
MCP server enabling LLMs to interact with Garmin Connect - activities, health metrics, sleep data, and training analysis
MCP server enabling LLMs to interact with Intervals.icu - training data, wellness metrics, performance analysis, and workout planning
Connect any GenAI tool to your intervals.icu data — includes MCP server, Python scripts, system prompts and coaching logic based on Joe Friel.
A local MCP server that brings iGPSport cycling data into LLM clients, with training metrics (NP/IF/TSS/CTL/ATL/TSB) computed server-side
Local-first Codex skill for coach-grade sports technique analysis from iPhone training videos using MediaPipe.
基于高驰(COROS)数据的全景训练分析技能包:拉取训练数据、融合真实天气与身体状态,输出 Ride Relief 风格交互式 HTML 训练报告。
AI skill for long jump and sprint performance analysis
Triathlon coach skill for Claude Code: pulls swim/bike/run + recovery data from connected fitness MCP servers (Garmin, Strava, Coros, Whoop, Oura, ...), computes CTL/ATL/TSB, ACWR & 80/20 distribution deterministically, and recommends your next session - with hard safety guardrails.
Local-first Strava analytics for cyclists — training load, fitness, power estimation, PRs, weather, routes & bike maintenance. No Strava API required.
AI-powered cycling coaching web application (Tier 3 "Training Architect"). Blazor frontend with .NET orchestration, an Azure AI Foundry agent, and intervals.icu integration. Generates structured, methodologically grounded training plans following Friel/Coggan (TSS/IF/CTL/ATL/TSB) with human-in-the-loop confirmation.
Local-first cycling analytics for Strava/Garmin FIT exports — a browser dashboard and a CLI. Training load (CTL/ATL/TSB), power curve, zones, durability, and climb comparison. No API, no cloud, nothing leaves your machine.
Local-first MCP server for endurance training data. Import FIT and TCX activities, keep them encrypted locally, and analyse training with AI.
Turn an Apple Health export into a queryable DuckDB database and a training-load report: real time in HR zones, aerobic progression, interval sessions rep by rep. Local only.
Self-hosted Strava training analysis: PMC, power curve, zones, AI coaching notes. Spring Boot + React + Docker.
MCP server that connects Claude with intervals.icu for advanced physiological training analysis
Use Strava's official MCP from Codex and OpenCode without creating a developer app. Local macOS Keychain and privacy-first streams.
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