# Workout Maker MCP Server

> Use this tool when you need to generate structured fitness content, create personalized workout plans, or develop tailored exercise programs for specific goals or demographics. It solves problems related to workout planning, exercise instruction, and training program development by providing detailed exercise instructions, balanced daily sessions, and multi-day plans. It takes inputs such as fitness goals, age ranges, and movement patterns, and outputs comprehensive workout programs with image prompts and instructions.

Canonical page: https://skillsregistry.net/skills/idjohnson-workoutmakermcp  
JSON: https://api.skillsregistry.net/v1/skills/idjohnson-workoutmakermcp

## Description

This MCP server enables the generation of structured fitness content, including detailed exercise instructions with image prompts, balanced daily workout sessions, and personalized multi-day training plans. It facilitates the creation of comprehensive workout programs tailored to specific goals, age ranges, and movement patterns.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sqtdrkq8h0)
- **Repository:** <https://github.com/idjohnson/workoutMakerMCP>

## 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": "idjohnson-workoutmakermcp"
    }
  }
}
```

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