Radial Hks MCP Unreal Server
A server implementation for interacting with Unreal Engine instances through remote Python execution, supporting node management, remote code execution, and real - time monitoring.
rating : 2 points
downloads : 7.7K
What is MCP Unreal Server?
MCP Unreal Server allows you to remotely interact with Unreal Engine instances by executing Python scripts or statements. It supports automatic discovery of Unreal nodes, execution of Python code in multiple modes, and provides detailed execution results.Main Features
MCP Unreal Server supports the following features: 1. Automatically detect Unreal Engine instances on the network 2. Execution file mode (MODE_EXEC_FILE) 3. Execution statement mode (MODE_EXEC_STATEMENT) 4. Expression evaluation mode (MODE_EVAL_STATEMENT) 5. Detailed execution result feedbackApplication Scenarios
MCP Unreal Server is suitable for the following scenarios: 1. Remote control of Unreal Engine projects 2. Automated testing and scripting 3. Distributed task processing 4. Cross - platform Python code executionFunctional Features
Automatic Node Discovery
The server can actively scan and identify all Unreal Engine instances on the network.
Multi - mode Execution
Supports multiple Python code execution methods such as file mode, statement mode, and expression evaluation.
Detailed Feedback
Provides complete execution results, including success indicators, output information, and error logs.
Usage Method
Ensure that the MCP plugin is installed and enabled on all Unreal Engine instances.
Configure the server's network settings to allow automatic node detection.
Write and prepare the Python script or statement to be executed.
Start the MCP Unreal Server and send an execution command to the target node.
Usage Examples
Example 1: Discover Nodes
How to use MCP Unreal Server to discover Unreal Engine nodes on the network.
Example 2: Execute Python Code
How to execute a simple Python statement on a specified node.
Frequently Asked Questions
Why can't I discover any Unreal Engine nodes?
How to handle execution failures?
Which Python versions are supported?
Additional Notes

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