# mesen-for-ai

> mesen-for-ai — paulomanrique-mesen-for-ai. Use this tool when you need to interact with classic video game consoles programmatically, enabling automation and analysis of gameplay and emulator states. It solves problems related to game testing, debugging, and reverse engineering by providing a JSON-RPC interface to control and inspect emulator instances. This tool accepts ROM files and JSON-RPC commands as inputs and outputs debugger information, memory dumps, and execution traces.

Canonical page: https://skillsregistry.net/skills/paulomanrique-mesen-for-ai  
JSON: https://api.skillsregistry.net/v1/skills/paulomanrique-mesen-for-ai

## Description

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fz670uglos)
- **Repository:** <https://github.com/paulomanrique/mesen-for-ai>

## 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": "paulomanrique-mesen-for-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paulomanrique-mesen-for-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paulomanrique-mesen-for-ai/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