* Fix test job state management after domain reload - TestRunnerService.RunFinished: Always clean up job state even when _runCompletionSource is null (happens after PlayMode domain reload) - TestJobManager: Detect and clear stale jobs (5+ min without updates) on startup to recover from stuck state after domain reload - refresh_unity.py: Add "could not connect" to retryable errors when wait_for_ready=True, so connection failures during domain reload trigger waiting instead of immediate failure Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Add focus nudge to handle OS-level throttling during PlayMode tests When Unity is unfocused, macOS App Nap (and similar OS features) can throttle the process, causing PlayMode tests to stall even with Unity No Throttling mode enabled. Changes: - Add ApplyNoThrottlingPreemptive() to TestRunnerNoThrottle for early throttle prevention before PlayMode Execute() - Add focus_nudge.py utility that temporarily focuses Unity and returns focus to the original app (supports macOS, Windows, Linux) - Integrate focus nudge into get_test_job polling - when tests appear stalled (unfocused + no progress for 10s), automatically nudge Unity Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Fix code review issues in focus_nudge.py - Remove redundant time import (already imported at module level) - Escape window titles in PowerShell script to prevent injection - Remove unused Callable import Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Improve focus nudge logging and fix skipped tests - Improve logging in focus_nudge.py: rate limit skip and focus return at INFO level - Improve logging in run_tests.py: show nudge completion status - Fix path resolution in test_logging_stdout.py and test_transport_framing.py - Add PlayMode tests to UnityMCPTests project for testing PlayMode runner Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Add troubleshooting note about focus permission requests When running PlayMode tests with Unity in the background, the focus nudge feature may trigger OS permission prompts (especially on macOS for accessibility/automation). Document this expected behavior. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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| src | ||
| tests | ||
| DOCKER_OVERVIEW.md | ||
| Dockerfile | ||
| LICENSE | ||
| README.md | ||
| __init__.py | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| uv.lock | ||
README.md
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@v9.0.3#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