# Game Deck

> Use this tool when you need to integrate AI agents with the Unity game engine, enabling scene management, GameObject manipulation, and C# script operations. It solves problems such as automating game development tasks, generating game content, and optimizing game builds through 268 tools and 5 AI prompts. The Game Deck tool accepts AI agent inputs and outputs results via a C# MCP server and Node.js proxy, providing a seamless interface for AI-driven game development.

Canonical page: https://skillsregistry.net/skills/ramonbedin-game-deck  
JSON: https://api.skillsregistry.net/v1/skills/ramonbedin-game-deck

## Description

Unity Editor package that bridges Claude AI to the Unity game engine via MCP. Exposes the full project to AI agents through 268 tools, 7 resources, and 5 prompts covering scene management, GameObject manipulation, prefab editing, C# script operations, and build control. Runs as a C# MCP server embedded in the Unity Editor on port 8090 with a Node.js proxy on port 9100. Includes an optional EditorWindow chat UI.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ramonbedin-game-deck)
- **Repository:** <https://github.com/ramonbedin/mcp-game-deck>

## 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": "ramonbedin-game-deck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ramonbedin-game-deck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ramonbedin-game-deck/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