What are the system requirements?
Unreal Engine 5.5+ and Python 3.12+ are required. An MCP-compatible client (Claude Desktop, Cursor, or Windsurf) is also needed.
@chongdashu
Basic information
Enable AI assistant clients like Cursor, Windsurf and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP).
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"unrealMCP": {
"command": "uv",
"args": [
"--directory",
"<path/to/the/folder/PYTHON>",
"run",
"unreal_mcp_server.py"
]
}
}
}Tool list not available yet
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An experimental integration that enables AI assistant clients like Cursor, Windsurf, and Claude Desktop to control Unreal Engine through natural language using the Model Context Protocol (MCP). It consists of a UE plugin (C++ TCP server) and a Python MCP server that expose tools for actor, Blueprint, and editor operations.
You use the provided Unreal sample project or copy the plugin into your own project, enable the plugin, and build it. Then set up the Python server (requires Python 3.12+), and configure your MCP client (e.g., Claude Desktop, Cursor, Windsurf) with a JSON configuration pointing to unreal_mcp_server.py. The server communicates with the plugin over TCP (port 55557).
Unreal Engine 5.5+ and Python 3.12+ are required. An MCP-compatible client (Claude Desktop, Cursor, or Windsurf) is also needed.
Add a JSON entry under `mcpServers` in your client’s configuration file, specifying `uv` as the command with arguments pointing to the Python directory and `unreal_mcp_server.py`. The file location varies: Claude Desktop uses `~/.config/claude-desktop/mcp.json`, Cursor uses `.cursor/mcp.json` in the project root, and Windsurf uses `~/.config/windsurf/mcp.json`.
No, the project is currently experimental. Features may be incomplete or unstable, breaking changes can occur without notice, and production use is not recommended.
The Python server uses TCP sockets (port 55557) to communicate with the Unreal Engine C++ plugin, and implements the Model Context Protocol via the FastMCP library.
You can reach the author on X/Twitter: [@chongdashu](https://www.x.com/chongdashu).

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