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

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
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