# moo2-mcp

> Use this tool when you need to interact with the classic DOS game Master of Orion 2, as it enables AI to observe game state by reading emulator memory and control gameplay by simulating mouse and keyboard input, allowing for automated testing, gameplay optimization, and AI training. It takes emulator memory as input and outputs simulated user input, providing a seamless interface for AI agents to engage with the game. Ideal for use cases involving game automation, AI research, and retro game interaction.

Canonical page: https://skillsregistry.net/skills/rapaul-moo2-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rapaul-moo2-mcp

## Description

Enables AI to observe and control the DOS game Master of Orion 2 by reading emulator memory and simulating mouse/keyboard input.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pmxzw4jhjs)
- **Repository:** <https://github.com/rapaul/moo2-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": "rapaul-moo2-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rapaul-moo2-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rapaul-moo2-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