Build a Unity Game with GitHub Copilot + MCP | .NET Game Development
Microsoft Developer kicks off the “Quest to Compile” series by showing how GitHub Copilot can work directly with the Unity Editor through Unity’s MCP (Model Context Protocol) tooling, reducing context switching between VS Code and Unity.
Overview
What this episode is about
The video explores a Unity + GitHub Copilot workflow enabled by MCP, where Copilot can:
- Interact with the Unity Editor (not just edit code in VS Code)
- Create and modify scenes
- Generate scripts
- Validate changes in real time
What you’ll learn
- How to connect GitHub Copilot to Unity using MCP
- What Model Context Protocol (MCP) is and why it matters for editor-integrated AI workflows
- How AI-driven tooling can create/modify Unity scenes in real time
- How to use Copilot instructions, custom agents, and skills for game development tasks
- How to debug common AI workflow issues (permissions, disconnects, domain reloads)
- How to prototype gameplay quickly using AI-assisted development
Setup and configuration topics covered
- Installing Unity MCP (AI Assistant Package)
- Understanding MCP building blocks (bridge, relay, tools)
- Setting up MCP in VS Code
- Registering the Unity MCP server
- Tool permissions and the execution model (what tools can run, and under what permissions)
Best practices and workflow design
- Using instructions effectively to guide Copilot behavior
- When to use agents vs skills, and how they differ
- Auto-generating project context with MCP to improve Copilot’s effectiveness
- Extending MCP with custom tools to support additional workflows
Links and resources
- GitHub Copilot: https://github.com/features/copilot
- Unity MCP documentation: https://on.unity.com/AIDocumentation
- Visual Studio Code: https://code.visualstudio.com/
- Quest to Compile series: https://aka.ms/Quest-to-Compile