# MCP PyBoy Emulator Server

> Use this tool when you need to interact with Game Boy games programmatically, allowing large language models (LLMs) to load and control games, capture screens, and manage game states. It solves problems related to automated game testing, gameplay analysis, and training AI models on classic games. The server takes ROM files and control inputs, and outputs game screens, states, and knowledge, providing a seamless interface for LLMs to engage with Game Boy games.

Canonical page: https://skillsregistry.net/skills/ssimonitch-mcp-pyboy  
JSON: https://api.skillsregistry.net/v1/skills/ssimonitch-mcp-pyboy

## Description

A Model Context Protocol server that allows LLMs to interact with Game Boy games through PyBoy emulation, providing capabilities to load ROMs, control games, capture screens, save/load states, and maintain game knowledge.

## 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:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fek7nmzmb5)
- **Repository:** <https://github.com/ssimonitch/mcp-pyboy>

## 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": "ssimonitch-mcp-pyboy"
    }
  }
}
```

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