This release is a pre-release and may not be stable for production use.
MCP for Unity Server
Model Context Protocol server for Unity Editor integration. Control Unity through natural language using AI assistants like Claude, Cursor, and more.
Maintained by Coplay - This project is not affiliated with Unity Technologies.
💬 Join our community: Discord Server
Required: Install the Unity MCP Plugin to connect Unity Editor with this MCP server. You also need uvx (requires uv) to run the server.
Installation
Option 1: PyPI
Install and run directly from PyPI using uvx.
Run Server (HTTP):
uvx --from mcpforunityserver mcp-for-unity --transport http --http-url http://localhost:8080
MCP Client Configuration (HTTP):
{
"mcpServers": {
"UnityMCP": {
"url": "http://localhost:8080/mcp"
}
}
}
MCP Client Configuration (stdio):
{
"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.
{
"mcpServers": {
"UnityMCP": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/CoplayDev/unity-mcp@v9.2.0#subdirectory=Server",
"mcp-for-unity",
"--transport",
"stdio"
]
}
}
}
Option 3: Docker
Use Pre-built Image:
docker run -p 8080:8080 msanatan/mcp-for-unity-server:latest --transport http --http-url http://0.0.0.0:8080
Build Locally:
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:
# 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 analyticsLOG_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:
Requirements
- Python: 3.10 or newer
- Unity Editor: 2021.3 LTS or newer
- uv: Python package manager (Installation Guide)
License
MIT License - See LICENSE
Metadata
Release files for mcpforunityserver 9.3.0b20260128055651
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mcpforunityserver-9.3.0b20260128055651.tar.gz | 153.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcpforunityserver-9.3.0b20260128055651-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 346.7 kB
Release files / mcpforunityserver-9.3.0b20260128055651.tar.gz
| Download URL | mcpforunityserver-9.3.0b20260128055651.tar.gz |
|---|---|
| Size | 153.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | mcpforunityserver-9.3.0b20260128055651-py3-none-any.whl |
|---|---|
| Size | 192.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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