MCP Unreal Server

A server implementation for interacting with Unreal Engine instances through remote Python execution.

Features

• 🚀 Unreal Instance Management

  • Automatic discovery of Unreal nodes via multicast
  • Real-time node status monitoring
  • Resource listing through LSP-compatible clients

• 💻 Remote Execution

  • Execute Python code in Unreal Engine environments
  • Support for both attended and unattended execution modes
  • File execution and statement evaluation modes

• 📊 Logging & Monitoring

  • Detailed logging to file (mcp_unreal.log)
  • Console logging with different verbosity levels
  • Node connection health monitoring

Installation

# Clone repository
git clone https://github.com/your-org/mcp-unreal-server.git
cd mcp-unreal-server

# Install dependencies
pip install -r requirements.txt

Configuration

Network Settings

Configure multicast parameters in RemoteExecutionConfig:

# Default multicast settings (modify in server.py)
config.multicast_group_endpoint = ("239.0.0.1", 6766)

Logging

Modify logging configuration in server.py:

# Adjust log levels
file_handler.setLevel(logging.DEBUG)  # File logging
console_handler.setLevel(logging.INFO)  # Console logging

Usage

Starting the Server

python -m src.mcp_server_unreal.server

Supported Tools

1. Connect to Unreal Instance

{
  "host": "239.0.0.1",
  "port": 6766
}

2. Execute Python Code

{
  "node_id": "<unreal-node-id>",
  "code": "print('Hello Unreal')",
  "unattended": true
}

API Documentation

Resource Format

types.Resource(
    uri="unreal://<node_id>",
    name=f"Unreal Instance: {node_id}",
    description="Unreal Engine instance",
    mimeType="application/x-unreal"
)

Execution Modes

Troubleshooting

Common Issues:

• No nodes discovered: Verify Unreal instances are running with MCP plugin
• Execution timeout: Check firewall settings for multicast traffic
• Connection drops: Monitor mcp_unreal.log for node status changes

License

Apache-2.0 License