advanced-unity-mcp
Advanced Unity MCP is a tool that allows users to control Unity using natural language commands. Instead of performing complex operations manually, users can issue commands to their AI assistant to automate the setup of GameObjects and build projects. This tool has the potential to significantly enhance productivity, especially for game developers.
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Unity 2022+MCP Client (Such as GitHub Copilot or Cursor)Installation
Installation
Prerequisites
Installation Steps
1. Install the Package
Open Unity Package Manager and add the following URL:
https://github.com/codemaestroai/advanced-unity-mcp.git
2. Connect Your AI
Go toCode Maestro > MCP Dashboard in Unity and click Configure next to your preferred MCP client. Start giving commands!
Troubleshooting
Issue: AI does not recognize commands Solution: Check the MCP client configuration.Configuration
Configuration
Basic Configuration
MCP Client Setup
In Unity, go toCode Maestro > MCP Dashboard and configure your preferred MCP client.
Advanced Configuration
Security Settings
Performance Tuning
Configuration Examples
No specific configuration file examples are provided, but configurations are based on the selected MCP client.Examples
Examples
Basic Usage
Here is a basic usage example for the MCP server:javascript
// JavaScript example
const { MCPClient } = require('@modelcontextprotocol/client');
const client = new MCPClient();
await client.connect();
// Execute tool
const result = await client.callTool('toolName', {
parameter1: 'value1',
parameter2: 'value2'
});
console.log(result);
Advanced Examples
python
Python example
import requests
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('analyze', {'input': 'sample data'})
Use Cases
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Total Contributions
Unity Editor MCP is a protocol that allows AI assistants to interact directly with the Unity Editor, enabling AI-assisted game development and automation. Key features include GameObject management, a component system, and prefab workflow editing. The project is currently in beta and under heavy development, meaning features and APIs may change.