---
slug: "unitymcp-unitymcp"
source_type: "readme"
source_url: "https://cdn.jsdelivr.net/gh/arodoid/unitymcp@main/README.md"
repo: "https://github.com/arodoid/unitymcp"
source_file: "README.md"
branch: "main"
---
# UnityMCP [](https://www.linkedin.com/in/jack-w-richards/)
[](https://modelcontextprotocol.io/introduction)
[](https://smithery.ai/server/@Arodoid/unitymcp)
[](https://github.com/CoderGamester/mcp-unity/commits/main)
[](https://opensource.org/licenses/MIT)
UnityMCP is a powerful Unity Editor plugin that implements the Model Context Protocol (MCP), enabling seamless integration between Unity and AI assistants. It provides real-time editor state monitoring, remote command execution, and comprehensive logging capabilities.
## Architecture
The project consists of two main components:
### 1. Unity Plugin (UnityMCPPlugin)
A Unity Editor plugin that provides:
- Debug window for connection status and monitoring
- WebSocket client for real-time communication
- C# code execution engine
- Comprehensive logging system
- Editor state tracking and serialization
### 2. MCP Server (unity-mcp-server)
A TypeScript-based MCP server that exposes Unity Editor functionality through standardized tools:
#### Available Tools
1. `get_editor_state`
- Retrieves current Unity Editor state
- Includes active GameObjects, selection state, play mode status
- Provides scene hierarchy and project structure
- Supports different output formats (Raw, scripts only, no scripts)
2. `execute_editor_command`
- Executes C# code directly in the Unity Editor
- Full access to UnityEngine and UnityEditor APIs
- Real-time execution with comprehensive error handling
- Command timeout protection
3. `get_logs`
- Retrieves and filters Unity Editor logs
- Supports filtering by type, content, and timestamp
- Customizable output fields
- Buffer management for optimal performance
## Installation
### Installing via Smithery
To install UnityMCP for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@Arodoid/unitymcp):
```bash
npx -y @smithery/cli install @Arodoid/unitymcp --client claude
```
### Prerequisites
- Unity 2022.3 or later
- Node.js 18 or later
- npm 9 or later
### Unity Plugin Setup
1. Copy the `UnityMCPPlugin` folder to your Unity project's Assets directory
2. Open Unity Editor
3. Access the plugin through Unity's top menu bar > UnityMCP > Debug Window
### MCP Server Setup
```bash
cd unity-mcp-server
npm install
npm run build
```
## Usage
### Starting the Server
```bash
cd unity-mcp-server
node build/index.js
```
### Connecting from Unity
1. Open your Unity project
2. Open the UnityMCP Debug Window (Window > UnityMCP > Debug Window)
3. The plugin will automatically attempt to connect to the MCP server
4. Monitor connection status and logs in the debug window
### Example: Executing Commands
```csharp
// Center the selected object
Selection.activeGameObject.transform.position = Vector3.zero;
// Toggle play mode
EditorApplication.isPlaying = !EditorApplication.isPlaying;
// Create a new cube
GameObject.CreatePrimitive(PrimitiveType.Cube);
```
## Development
### Building the Server
```bash
cd unity-mcp-server
npm run build
```
### Watching for Changes
```bash
npm run watch
```
### Inspecting MCP Communication
```bash
npm run inspector
```
## Technical Details
### Communication Protocol
- WebSocket-based communication on port 8080
- Bidirectional real-time updates
- JSON message format for all communications
- Automatic reconnection handling
### Security Features
- Command execution timeout protection
- Error handling and validation
- Log buffer management
- Connection state monitoring
### Error Handling
The system provides comprehensive error handling for:
- Connection issues
- Command execution failures
- Compilation errors
- Runtime exceptions
- Timeout scenarios
## Contributing
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).