# Mengine MCP

> Mengine MCP — irov-mengine-mcp. Use this tool when you need to streamline development and debugging of Mengine game builds, as it enables launch, inspection, control, and hot-reloading of live builds through Visual Studio Code or standard MCP clients, solving issues related to game development efficiency and productivity. It accepts Mengine game builds as input and provides outputs such as debug logs and build controls. Ideal for use in game development environments where rapid iteration and debugging are crucial.

Canonical page: https://skillsregistry.net/skills/irov-mengine-mcp  
JSON: https://api.skillsregistry.net/v1/skills/irov-mengine-mcp

## Description

Enables AI agents to launch, inspect, control, debug, and hot-reload live Mengine game builds through Visual Studio Code or standard MCP clients.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zdhk1dadpj)
- **Repository:** <https://github.com/irov/Mengine-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": "irov-mengine-mcp"
    }
  }
}
```

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