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trainingpeaks-mcp

Active·★ 76·MIT·Updated 2026-05-27
★ Trending★ LLM Infra★ API Integration

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.

TrainingPeaks MCP Server connects your TrainingPeaks account to AI assistants via the Model Context Protocol. It provides 54 tools for querying workouts, building structured intervals, managing the calendar, tracking fitness trends, and controlling training through natural conversation. No API approval required—uses secure cookie authentication stored in your system keyring.

#claude#claude-desktop#cycling#fitness#mcp#mcp-server#mcp-servers#model-context-protocol
$ Install
$ git clone https://github.com/JamsusMaximus/trainingpeaks-mcp.git && cd trainingpeaks-mcp && python3 -m venv .venv && source .venv/bin/activate && pip install -e .
↗ Visit site★ GitHub
01

Features

01Query and manage workouts (create, update, delete, copy, reorder)
02Build structured interval workouts with auto-computed IF/TSS
03Log and retrieve health metrics (weight, HRV, sleep, etc.)
04Manage calendar events, notes, and availability
05Track fitness trends (CTL, ATL, TSB) and annual training plan
02

Compatibility

macOS
macOS
Verified via docs
Windows
Windows
Verified via docs
Linux
Linux
Verified via docs
03

Quick start

1
$ git clone https://github.com/JamsusMaximus/trainingpeaks-mcp.git
2
$ cd trainingpeaks-mcp
3
$ python3 -m venv .venv
4
$ source .venv/bin/activate
5
$ pip install -e .
04

Use cases

↳Ask your AI assistant to build a custom interval workout and schedule it
↳Compare FTP progression across different years
↳Manage your race calendar and weekly TSS targets
05

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Related searches

trainingpeaks-mcp AlternativesBest LLM Infra Tools 2026Open Source LLM Infratrainingpeaks-mcp Tutorialtrainingpeaks-mcp Vs Competitorsclaudeclaude-desktopcycling

Comments

Log in to leave a comment
  • S
    Skyler ZhangApr 2, 2026

    No API approval needed is a big practical advantage for hobby athletes and coaches

  • J
    Jamie ClarkMar 30, 2026

    TrainingPeaks workout data in Claude enables conversational training analysis

  • E
    Elliot AndersonMar 14, 2026

    Used for automated training log analysis, the data access is comprehensive

  • L
    Logan WilsonFeb 27, 2026

    Works with Claude Desktop and Code, good flexibility for different workflows

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 76
Last commit3d ago
StatusActive
LicenseMIT
CategoryLLM Infra
Trend (30d)
+3↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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