JamsusMaximus/trainingpeaks-mcp

Overview

TrainingPeaks MCP server for Claude Desktop, Code and Cowork. It queries workouts, CTL/ATL/TSB fitness data, and power PRs via natural language without requiring API approval.

Best for

Best for
Athletes and coaches who want to query TrainingPeaks fitness metrics through Claude's interface

Use cases

• Ask Claude for your current CTL/ATL/TSB values in natural language
• Retrieve recent workout summaries and power PRs from TrainingPeaks
• Integrate fitness data into AI-assisted training log analysis

How to use

Install

pip install -e .

Tools exposed

• tp_get_workouts
• tp_get_workout
• tp_create_workout
• tp_update_workout
• tp_delete_workout
• tp_copy_workout
• tp_reorder_workouts
• tp_pair_workout
• tp_unpair_workout
• tp_validate_structure
• tp_get_workout_comments
• tp_add_workout_comment
• tp_get_workout_note
• tp_set_workout_note
• tp_upload_workout_file
• tp_download_workout_file
• tp_delete_workout_file
• tp_analyze_workout
• tp_get_peaks
• tp_get_workout_prs

Tested with

Claude Desktop, Claude Code

Notes

TrainingPeaks MCP server for Claude Desktop, Code and Cowork. It queries workouts, CTL/ATL/TSB fitness data, and power PRs via natural language without requiring API approval.

76 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

• Ask Claude for your current CTL/ATL/TSB values in natural language
• Retrieve recent workout summaries and power PRs from TrainingPeaks
• Integrate fitness data into AI-assisted training log analysis

Pros

• Works with any TrainingPeaks account, no API approval needed
• Natural language queries reduce manual data lookup
• Open source Python project with 76 GitHub stars

Cons

• Limited to TrainingPeaks data only
• Requires Claude Desktop or compatible MCP client
• No built-in visualization or export features

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.