# MCPGame

> Use this tool when you need to simulate interactive 3D virtual environments for multiplayer experiences, solving problems of remote collaboration and immersive training. It provides a virtual house setting with interactive elements like TV and computer terminals, accepting image and system access inputs and producing immersive outputs. Ideal for use cases requiring interactive 3D simulations, such as training, education, or entertainment.

Canonical page: https://skillsregistry.net/skills/allaboutai-yt-mcpgame  
JSON: https://api.skillsregistry.net/v1/skills/allaboutai-yt-mcpgame

## Description

A multiplayer first-person 3D virtual house environment with interactive elements including a TV with image display system and computer terminal for accessing MCP systems.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i0bluc1psy)
- **Repository:** <https://github.com/AllAboutAI-YT/mcpgame>

## 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": "allaboutai-yt-mcpgame"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/allaboutai-yt-mcpgame` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/allaboutai-yt-mcpgame/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