Build a Unity Game with GitHub Copilot + MCP | .NET Game Development

Microsoft Developer · Beginner ·💻 AI-Assisted Coding ·2mo ago

Key Takeaways

Builds a Unity game with GitHub Copilot and MCP

Original Description

Welcome to the first episode of Quest to Compile 🎮 In this episode, we explore how GitHub Copilot + Unity MCP (Model Context Protocol) changes modern game development workflows. Instead of constantly switching between VS Code and Unity, you can have Copilot interact directly with the Unity Editor to create scenes, generate scripts, validate changes in real time, and more. We walk through setup, best practices, and a hands-on demo where we build a playable Unity prototype from prompts using Unity, .NET, and GitHub Copilot. Along the way, expect a bit of sibling banter--because building games runs in the family. 🚀 What You’ll Learn How to connect GitHub Copilot to Unity using MCP What Model Context Protocol (MCP) is and why it matters How AI can create and modify Unity scenes in real time How to use Copilot instructions, custom agents, and skills How to debug AI workflows (permissions, disconnects, domain reloads) How to prototype gameplay quickly using AI-assisted development ⏱️ Chapters 00:00 Intro: Stop Alt-Tabbing Between VS Code and Unity 00:23 What Unity MCP + Copilot Can Do 01:57 Installing Unity MCP (AI Assistant Package) 04:02 Understanding MCP: Bridge, Relay, and Tools 06:02 What Is Model Context Protocol (MCP)? 08:16 Tool Permissions and Execution Model 09:00 Setting Up MCP in VS Code 10:17 Registering the Unity MCP Server 15:00 Best Practices: Instructions, Agents, and Skills 16:06 Auto-Generating Project Context with MCP 17:36 Custom Agents for Game Development 19:56 Skills vs Agents Explained 23:06 Demo: Building a Scene with AI Prompts 36:42 Key Takeaways and Best Practices 37:10 Extending MCP with Custom Tools 🔗 Links & Resources Learn about GitHub Copilot: https://github.com/features/copilot Unity MCP documentation: https://on.unity.com/AIDocumentation Visual Studio Code: https://code.visualstudio.com/ 📺 Watch the full series: aka.ms/Quest-to-Compile 🏷️ Hashtags #GameDevelopment #Unity3D #DotNet #GitHubCopilot #AIDevelopment #VSCode #I
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Inside Lumetrix Play's Playground: How One Tap Turns a Video Frame Into a Test-Ready Coding Problem
Learn how Lumetrix Play's Playground turns video frames into coding problems with one tap, enhancing coding skills
Dev.to · Arshad Azeez M
 📰
Custom slash commands in Claude Code: how they work now that commands are skills
Learn how custom slash commands in Claude Code work now that they're merged into skills, and how to utilize them for automation
Dev.to AI
 📰
Pillar research says the AI coding agent sandbox leaks through trusted files
AI coding agent sandboxes can be bypassed through trusted files, prompting urgent patches from OpenAI, Google, and Cursor
Dev.to · Leo
 📰
Software Is Cheap. Proof Is Not.
AI makes software demos cheaper but proof and validation are still costly and crucial for success
Dev.to · App Foundry

Chapters (15)

Intro: Stop Alt-Tabbing Between VS Code and Unity
0:23 What Unity MCP + Copilot Can Do
1:57 Installing Unity MCP (AI Assistant Package)
4:02 Understanding MCP: Bridge, Relay, and Tools
6:02 What Is Model Context Protocol (MCP)?
8:16 Tool Permissions and Execution Model
9:00 Setting Up MCP in VS Code
10:17 Registering the Unity MCP Server
15:00 Best Practices: Instructions, Agents, and Skills
16:06 Auto-Generating Project Context with MCP
17:36 Custom Agents for Game Development
19:56 Skills vs Agents Explained
23:06 Demo: Building a Scene with AI Prompts
36:42 Key Takeaways and Best Practices
37:10 Extending MCP with Custom Tools
Up next
AI Master Prompt for Google Ads Copywriting
My Online Master
Watch →