How do I discover Unreal nodes?
Ensure Unreal instances are running with the MCP plugin enabled. The server discovers nodes automatically via multicast on the configured group endpoint.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"radial-hks_MCP-Unreal-Server": {
"command": "python",
"args": [
"-m",
"src.mcp_server_unreal.server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Unreal Server is an MCP (Model Context Protocol) server that enables interaction with Unreal Engine instances through remote Python execution. It automatically discovers Unreal nodes via multicast, provides real-time node monitoring, and allows executing Python code in both attended and unattended modes. It is designed for developers using Unreal Engine with LSP-compatible MCP clients.
Install by cloning the repository and running pip install -r requirements.txt. Start the server with python -m src.mcp_server_unreal.server. Configure multicast group endpoint (default 239.0.0.1:6766) and logging verbosity in server.py. Use tools like connect_to_instance and execute_python_code with appropriate JSON parameters (host, port, node_id, code, unattended flag).
mcp_unreal.log with configurable verbosityEnsure Unreal instances are running with the MCP plugin enabled. The server discovers nodes automatically via multicast on the configured group endpoint.
Execution timeouts are often caused by firewall settings blocking multicast traffic. Verify that your network allows multicast on the configured port and group address.
Monitor the `mcp_unreal.log` file for node status changes. The log provides detailed information about connection health and node availability.
The server requires Python 3 and the packages listed in `requirements.txt`. Install them by running `pip install -r requirements.txt` after cloning the repository.

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