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trainingpeaks-mcp
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trainingpeaks-mcp

Active·★ 183·MIT·Updated 2026-08-02

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
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$ 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

Alternatives

⚡Top VS:
VSmcp-claude-spotify★53→VSmcp-web-search-tool★16→VSxp-mcp★12→

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JamsusMaximus /
trainingpeaks-mcp
↗

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.

183MIT
Last commit2mo ago
StatusActive
CategoryLLM Infra
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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