Practical workflows using Unity-MCP's 52 tools, 48 prompts, and 1 resource. All examples show what you can ask your AI client to do once Unity-MCP is connected. "Create a new scene called 'Level01', ...

In this tutorial, we build a production-ready agentic workflow that prioritizes reliability over best-effort generation by enforcing strict, typed outputs at every step. We use PydanticAI to define ...

DirectX 9 Depth of Field post-processing demo with Gaussian blur implementation in a custom rendering engine. Demonstrates render-to-texture pipeline, separable blur shaders, and modular engine ...