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Python MCP server for Unity Editor — enables AI assistants to control Unity via the Model Context Protocol

Project description

unity-mcp-server

Python MCP server for Unity MCP — enables AI assistants (Claude, Cursor, VS Code Copilot, Windsurf) to control the Unity Editor via the Model Context Protocol.

Quick Start

1. Install the Unity package

In Unity: Window > Package Manager > + > Add package from git URL:

https://github.com/mzbswh/unity-mcp.git?path=unity-mcp

2. Configure your MCP client

Add to your MCP client config (e.g. .cursor/mcp.json, .vscode/mcp.json):

{
  "mcpServers": {
    "unity": {
      "command": "uvx",
      "args": ["unity-mcp-server"]
    }
  }
}

Or use Window > Unity MCP > Clients tab in Unity for one-click configuration.

3. Verify

Ask your AI assistant: "List all GameObjects in my Unity scene"

Streamable HTTP Mode

By default the server runs in stdio mode (MCP client launches it automatically). To run as a standalone HTTP server:

UNITY_MCP_TRANSPORT=streamable-http uvx unity-mcp-server

Then configure your MCP client with http://127.0.0.1:8080/mcp.

Environment Variables

Variable Default Description
UNITY_MCP_HOST 127.0.0.1 Unity Editor host address
UNITY_MCP_PORT 51279 Unity Editor TCP port
UNITY_MCP_TIMEOUT 60 Request timeout (seconds)
UNITY_MCP_TRANSPORT stdio Transport mode: stdio or streamable-http
UNITY_MCP_HTTP_PORT 8080 HTTP port (only for streamable-http mode)

Docker

cd unity-server

# stdio mode (default)
docker compose up -d

# Streamable HTTP mode
UNITY_MCP_TRANSPORT=streamable-http docker compose up -d

Extra Tools

In addition to all Unity Editor tools (60+), this server provides:

  • analyze_script — C# script static analysis
  • validate_assets — Asset naming and directory validation

License

MIT

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