# Evertrain

> Evertrain — app-evertrain-evertrain. Use this tool when you need to manage and track your fitness training programs, workouts, and exercises in one place. Evertrain solves problems of disorganized training data and limited access to coaching notes and history, providing a centralized interface for inputting workout details and outputting progress tracking and analysis. It is ideal for use in contexts where athletes, coaches, or fitness enthusiasts require a structured approach to training management.

Canonical page: https://skillsregistry.net/skills/app-evertrain-evertrain  
JSON: https://api.skillsregistry.net/v1/skills/app-evertrain-evertrain

## Description

Manage your Evertrain training — programs, workouts, exercises, history, and coaching notes.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.evertrain%2Fevertrain)

## Use it

MCP endpoint published by the skill: `https://mcp.evertrain.app/mcp`

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": "app-evertrain-evertrain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/app-evertrain-evertrain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/app-evertrain-evertrain/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