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chongdashu Unreal MCP

chongdashu’s Unreal MCP is an experimental integration that lets AI assistants control Unreal Engine actors, Blueprints and editor views.

chongdashu Unreal MCP preview

About

chongdashu’s Unreal MCP is an experimental integration that lets AI assistants control Unreal Engine actors, Blueprints and editor views.

Key Features

  • Create and modify actors and Blueprint components.
  • Work with Blueprint nodes and editor viewport controls.

Use Cases

Inspect or automate Unreal editor workflows with an AI coding assistant.

Limitations

The maintainer explicitly labels this project experimental and does not recommend production use.

Sources

  • Project documentation: https://github.com/chongdashu/unreal-mcp

MCP Setup

Prerequisites

  • Unreal Engine 5.5+; Python 3.12+; uv.
  • Build the UnrealMCP plugin with the sample project or your own project.

Companion app or plugin

Name: UnrealMCP plugin Install URL: https://github.com/chongdashu/unreal-mcp

  • Open the included MCPGameProject starter project.
  • Generate project files and build the Development Editor target.

The project is experimental and the README does not recommend production use.

Client setup

Claude Desktop

Transport: stdio

{
  "mcpServers": {
    "unrealMCP": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/unreal-mcp/Python",
        "run",
        "unreal_mcp_server.py"
      ]
    }
  }
}
  • Replace the Python directory with the one in your local clone.

Setup docs: https://github.com/chongdashu/unreal-mcp

Tags

MCPunreal-enginegame-development

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