No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by JamsusMaximus · MCP Server · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is trainingpeaks-mcp safe to install? View the security audit →
TrainingPeaks MCP Server Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol (MCP). Query workouts, build structured intervals, manage your calendar, track fitness trends, and control your training through natural conversation. No API approval required. The official Training Peaks API is approval-gated, but this server uses secure cookie authentication that any user can set up in minutes. Your cookie is stored in your system keyring, never transmitted anywhere except to TrainingPeaks. What You Can Do Ask your AI assistant things like: "Build me a 4x8min threshold session for Tuesday with warm-up and cool-down" "Compare my FTP progression this year vs last year" "Copy last week's long ride to this Saturday" "Log my weight at 74.5kg and sleep at 7.5 hours" "What's my weekly TSS so far? Am I on track for my ATP target?" "Show my race calendar and how many weeks until my A race" "Set my FTP to 310 and update my power zones" "Add a calendar note for next Monday: rest day, travel" Tools (52) Workouts List workouts in a date range (max 90 day
| Stars | 139 |
| Forks | 67 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.6160759568613/100 |
| Open Issues | 13 |
| Last Updated | 2026-08-02 |
| Created | 2026-01-09 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~16k |
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trainingpeaks-mcp is 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.. It is categorized as a MCP Server with 139 GitHub stars.
trainingpeaks-mcp is primarily written in Python. It covers topics such as claude, claude-desktop, cycling.
You can find installation instructions and usage details in the trainingpeaks-mcp GitHub repository at github.com/JamsusMaximus/trainingpeaks-mcp. The project has 139 stars and 67 forks, indicating an active community.
trainingpeaks-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to trainingpeaks-mcp on Agent Skills Hub include intervals-icu-mcp, hevy-mcp, notion-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: