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# MCP for Unity Server [![MCP](https://badge.mcpx.dev?status=on 'MCP Enabled')](https://modelcontextprotocol.io/introduction) [![python](https://img.shields.io/badge/Python-3.10+-3776AB.svg?style=flat&logo=python&logoColor=white)](https://www.python.org) [![License](https://img.shields.io/badge/License-MIT-red.svg 'MIT License')](https://opensource.org/licenses/MIT) [![Discord](https://img.shields.io/badge/discord-join-red.svg?logo=discord&logoColor=white)](https://discord.gg/y4p8KfzrN4) Model Context Protocol server for Unity Editor integration. Control Unity through natural language using AI assistants like Claude, Cursor, and more. **Maintained by [Coplay](https://www.coplay.dev/?ref=unity-mcp)** - This project is not affiliated with Unity Technologies. đź’¬ **Join our community:** [Discord Server](https://discord.gg/y4p8KfzrN4) **Required:** Install the [Unity MCP Plugin](https://github.com/CoplayDev/unity-mcp?tab=readme-ov-file#-step-1-install-the-unity-package) to connect Unity Editor with this MCP server. You also need `uvx` (requires [uv](https://docs.astral.sh/uv/)) to run the server. --- ## Installation ### Option 1: PyPI Install and run directly from PyPI using `uvx`. **Run Server (HTTP):** ```bash uvx --from mcpforunityserver mcp-for-unity --transport http --http-url http://localhost:8080 ``` **MCP Client Configuration (HTTP):** ```json { "mcpServers": { "UnityMCP": { "url": "http://localhost:8080/mcp" } } } ``` **MCP Client Configuration (stdio):** ```json { "mcpServers": { "UnityMCP": { "command": "uvx", "args": [ "--from", "mcpforunityserver", "mcp-for-unity", "--transport", "stdio" ] } } } ``` ### Option 2: From GitHub Source Use this to run the latest released version from the repository. Change the version to `main` to run the latest unreleased changes from the repository. ```json { "mcpServers": { "UnityMCP": { "command": "uvx", "args": [ "--from", "git+https://github.com/CoplayDev/unity-mcp@v8.3.0#subdirectory=Server", "mcp-for-unity", "--transport", "stdio" ] } } } ``` ### Option 3: Docker **Use Pre-built Image:** ```bash docker run -p 8080:8080 msanatan/mcp-for-unity-server:latest --transport http --http-url http://0.0.0.0:8080 ``` **Build Locally:** ```bash docker build -t unity-mcp-server . docker run -p 8080:8080 unity-mcp-server --transport http --http-url http://0.0.0.0:8080 ``` Configure your MCP client with `"url": "http://localhost:8080/mcp"`. ### Option 4: Local Development For contributing or modifying the server code: ```bash # Clone the repository git clone https://github.com/CoplayDev/unity-mcp.git cd unity-mcp/Server # Run with uv uv run src/main.py --transport stdio ``` --- ## Configuration The server connects to Unity Editor automatically when both are running. No additional configuration needed. **Environment Variables:** - `DISABLE_TELEMETRY=true` - Opt out of anonymous usage analytics - `LOG_LEVEL=DEBUG` - Enable detailed logging (default: INFO) --- ## Example Prompts Once connected, try these commands in your AI assistant: - "Create a 3D player controller with WASD movement" - "Add a rotating cube to the scene with a red material" - "Create a simple platformer level with obstacles" - "Generate a shader that creates a holographic effect" - "List all GameObjects in the current scene" --- ## Documentation For complete documentation, troubleshooting, and advanced usage: đź“– **[Full Documentation](https://github.com/CoplayDev/unity-mcp#readme)** --- ## Requirements - **Python:** 3.10 or newer - **Unity Editor:** 2021.3 LTS or newer - **uv:** Python package manager ([Installation Guide](https://docs.astral.sh/uv/getting-started/installation/)) --- ## License MIT License - See [LICENSE](https://github.com/CoplayDev/unity-mcp/blob/main/LICENSE)

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