A MCP Server implementation for interacting with Unreal Engine instances through remote Python execution.
What is radial hks MCP Unreal Server
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
- Detailed logging to file (
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
- Connect to Unreal Instance
{
"host": "239.0.0.1",
"port": 6766
}
- 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
Mode | Description |
---|---|
MODE_EXEC_FILE | Execute Python file |
MODE_EXEC_STATEMENT | Execute Python statement |
MODE_EVAL_STATEMENT | Evaluate Python expression |
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
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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