184 lines
4.4 KiB
Markdown
184 lines
4.4 KiB
Markdown
# MCP for Unity Server
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[](https://modelcontextprotocol.io/introduction)
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[](https://www.python.org)
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[](https://opensource.org/licenses/MIT)
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[](https://discord.gg/y4p8KfzrN4)
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Model Context Protocol server for Unity Editor integration. Control Unity through natural language using AI assistants like Claude, Cursor, and more.
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**Maintained by [Coplay](https://www.coplay.dev/?ref=unity-mcp)** - This project is not affiliated with Unity Technologies.
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💬 **Join our community:** [Discord Server](https://discord.gg/y4p8KfzrN4)
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**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.
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---
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## Installation
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### Option 1: Using uvx (Recommended)
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Run directly from GitHub without installation:
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```bash
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# HTTP (default)
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uvx --from git+https://github.com/CoplayDev/unity-mcp@v8.1.6#subdirectory=Server \
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mcp-for-unity --transport http --http-url http://localhost:8080
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# Stdio
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uvx --from git+https://github.com/CoplayDev/unity-mcp@v8.1.6#subdirectory=Server \
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mcp-for-unity --transport stdio
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```
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**MCP Client Configuration (HTTP):**
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```json
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{
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"mcpServers": {
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"UnityMCP": {
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"url": "http://localhost:8080/mcp"
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}
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}
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}
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```
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**MCP Client Configuration (stdio):**
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```json
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{
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"mcpServers": {
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"UnityMCP": {
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"command": "uvx",
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"args": [
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"--from",
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"git+https://github.com/CoplayDev/unity-mcp@v8.1.6#subdirectory=Server",
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"mcp-for-unity",
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"--transport",
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"stdio"
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],
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"type": "stdio"
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}
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}
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}
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```
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### Option 2: Using uv (Local Installation)
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For local development or custom installations:
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```bash
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# Clone the repository
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git clone https://github.com/CoplayDev/unity-mcp.git
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cd unity-mcp/Server
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# Run with uv (HTTP)
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uv run server.py --transport http --http-url http://localhost:8080
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# Run with uv (stdio)
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uv run server.py --transport stdio
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```
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**MCP Client Configuration (HTTP):**
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```json
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{
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"mcpServers": {
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"UnityMCP": {
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"url": "http://localhost:8080/mcp"
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}
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}
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}
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```
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**MCP Client Configuration (stdio – Windows):**
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```json
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{
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"mcpServers": {
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"UnityMCP": {
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"command": "uv",
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"args": [
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"run",
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"--directory",
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"C:\\path\\to\\unity-mcp\\Server",
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"server.py",
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"--transport",
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"stdio"
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]
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}
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}
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}
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```
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**MCP Client Configuration (stdio – macOS/Linux):**
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```json
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{
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"mcpServers": {
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"UnityMCP": {
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"command": "uv",
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"args": [
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"run",
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"--directory",
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"/path/to/unity-mcp/Server",
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"server.py",
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"--transport",
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"stdio"
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]
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}
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}
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}
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```
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### Option 3: Using Docker
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```bash
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docker build -t unity-mcp-server .
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docker run -p 8080:8080 unity-mcp-server --transport http --http-url http://0.0.0.0:8080
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```
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Configure your MCP client with `"url": "http://localhost:8080/mcp"`. For stdio-in-docker (rare), run the container with `--transport stdio` and use the same `command`/`args` pattern as the uv examples, wrapping it in `docker run -i ...` if needed.
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---
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## Configuration
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The server connects to Unity Editor automatically when both are running. No additional configuration needed.
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**Environment Variables:**
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- `DISABLE_TELEMETRY=true` - Opt out of anonymous usage analytics
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- `LOG_LEVEL=DEBUG` - Enable detailed logging (default: INFO)
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---
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## Example Prompts
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Once connected, try these commands in your AI assistant:
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- "Create a 3D player controller with WASD movement"
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- "Add a rotating cube to the scene with a red material"
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- "Create a simple platformer level with obstacles"
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- "Generate a shader that creates a holographic effect"
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- "List all GameObjects in the current scene"
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---
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## Documentation
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For complete documentation, troubleshooting, and advanced usage:
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📖 **[Full Documentation](https://github.com/CoplayDev/unity-mcp#readme)**
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---
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## Requirements
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- **Python:** 3.10 or newer
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- **Unity Editor:** 2021.3 LTS or newer
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- **uv:** Python package manager ([Installation Guide](https://docs.astral.sh/uv/getting-started/installation/))
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---
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## License
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MIT License - See [LICENSE](https://github.com/CoplayDev/unity-mcp/blob/main/LICENSE)
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