# umdgencli-mcp

> umdgencli-mcp — quickstraw-umdgencli-mcp. Use this tool when you need to create, edit, or manage PSP UMD images, and leverage AI-driven automation to streamline tasks such as building compilations, converting formats, and patching images. It provides a comprehensive interface for AI agents to interact with UMDGenCLI, accepting inputs like image files and commands, and generating outputs like edited images and logs. Ideal for use cases involving PSP game development, modding, and image manipulation, where automation and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/quickstraw-umdgencli-mcp  
JSON: https://api.skillsregistry.net/v1/skills/quickstraw-umdgencli-mcp

## Description

An MCP server that lets AI agents drive UMDGenCLI to create and edit PSP UMD images (ISO/CSO/DAX). It exposes all major UMDGenCLI functions as tools for building compilations, saving images, converting formats, patching, extracting, and inspecting.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jtexts7xuw)
- **Repository:** <https://github.com/quickstraw/umdgencli-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": "quickstraw-umdgencli-mcp"
    }
  }
}
```

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

---
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