* Optimize run_tests to return summary by default, reducing token usage by 98%
- Add includeFailedTests parameter: returns only failed/skipped test details
- Add includeDetails parameter: returns all test details (original behavior)
- Default behavior now returns summary only (~150 tokens vs ~13k tokens)
- Make results field optional in Python schema for backward compatibility
Token savings:
- Default: ~13k tokens saved (98.9% reduction)
- With failures: minimal tokens (only non-passing tests)
- Full details: same as before when explicitly requested
This prevents context bloat for typical test runs where you only need
pass/fail counts, while still allowing detailed debugging when needed.
* Add warning when run_tests filters match no tests; fix test organization
TDD Feature:
- Add warning message when filter criteria match zero tests
- New RunTestsTests.cs validates message formatting logic
- Modified RunTests.cs to append "(No tests matched the specified filters)" when total=0
Test Organization Fixes:
- Move MCPToolParameterTests.cs from EditMode/ to EditMode/Tools/ (matches folder hierarchy)
- Fix inconsistent namespaces to MCPForUnityTests.Editor.{Subfolder}:
- MCPToolParameterTests: Tests.EditMode → MCPForUnityTests.Editor.Tools
- DomainReloadResilienceTests: Tests.EditMode.Tools → MCPForUnityTests.Editor.Tools
- Matrix4x4ConverterTests: MCPForUnityTests.EditMode.Helpers → MCPForUnityTests.Editor.Helpers
* Refactor test result message formatting
* Simplify RunTests warning assertions
* Tests: de-flake cold-start EditMode runs
- Make ManageScriptableObjectTests setup yield-based with longer Unity-ready timeout
- Mark DomainReloadResilienceTests explicit to avoid triggering domain reload during Run All
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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@v8.5.0#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