The Unity MCP server allows your Unity projects to communicate with AI language models using the Model Context Protocol (MCP). This server acts as a bridge between Unity and various AI assistants like Claude, Cursor, and Windsurf.
To use the MCP server with your Unity project, you need to install both the Unity MCP Plugin and an MCP client.
You can run the MCP server in several ways, with Docker being the simplest option:
docker run -p 8080:8080 ivanmurzakdev/unity-mcp-server
For STDIO transport (where the MCP client launches the server):
docker run -t -e UNITY_MCP_CLIENT_TRANSPORT=stdio -p 8080:8080 ivanmurzakdev/unity-mcp-server
If you need a custom port:
docker run -e UNITY_MCP_PORT=123 -p 123:123 ivanmurzakdev/unity-mcp-server
For HTTP transport, configure your MCP client with:
{
"mcpServers": {
"Unity-MCP": {
"url": "http://localhost:8080"
}
}
}
For STDIO transport:
{
"mcpServers": {
"Unity-MCP": {
"command": "docker",
"args": [
"run",
"-t",
"-e",
"UNITY_MCP_CLIENT_TRANSPORT=stdio",
"-p",
"8080:8080",
"ivanmurzakdev/unity-mcp-server"
]
}
}
}
The server supports several configuration options:
| Parameter | Description | Default Value |
|---|---|---|
--port |
Server port for connections | 8080 |
--plugin-timeout |
Plugin connection timeout in ms | 10000 |
--client-transport |
Transport type (stdio or http) | http |
You can specify these as either environment variables or command-line arguments:
./unity-mcp-server --port 8080 --plugin-timeout 10000 --client-transport stdio
Instead of Docker, you can use pre-compiled binary files specific to your CPU architecture. These are available on the GitHub Release Page.
./unity-mcp-server --port 8080 --plugin-timeout 10000 --client-transport stdio
When used in a Unity project, the MCP server facilitates communication between your game/application and AI language models. This enables features like AI-powered debugging, dynamic NPC behavior, and runtime AI assistance.
To connect to the server from your Unity code:
UnityMcpPlugin.BuildAndStart(); // Initialize the plugin
UnityMcpPlugin.Connect(); // Connect to the MCP server
// Later when needed:
UnityMcpPlugin.Disconnect(); // Disconnect from the server
The MCP server architecture provides a flexible foundation for integrating AI capabilities into your Unity projects, whether during development or at runtime in your final application.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "unity-mcp" '{"command":"dotnet","args":["run","--project","path/to/unity-mcp"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:
{
"mcpServers": {
"unity-mcp": {
"command": "dotnet",
"args": [
"run",
"--project",
"path/to/unity-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json2. Add this to your configuration file:
{
"mcpServers": {
"unity-mcp": {
"command": "dotnet",
"args": [
"run",
"--project",
"path/to/unity-mcp"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect