# trainingpeaks-mcp

> trainingpeaks-mcp — haytam111234-trainingpeaks-mcp. Use this tool when you need to integrate TrainingPeaks with AI assistants to query workouts, analyze fitness data, and track trends. It solves the problem of API approval hassles, providing easy access to workout data and insights. With a simple interface, it takes in workout queries and outputs analyzed data and trends, ideal for use cases requiring seamless connectivity between TrainingPeaks and AI-powered fitness analysis.

Canonical page: https://skillsregistry.net/skills/haytam111234-trainingpeaks-mcp  
JSON: https://api.skillsregistry.net/v1/skills/haytam111234-trainingpeaks-mcp

## Description

🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/haytam111234/trainingpeaks-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "haytam111234-trainingpeaks-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/haytam111234-trainingpeaks-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/haytam111234-trainingpeaks-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt