Hello everyone,
Prototyping AI characters in Unity just got much faster! We are excited to share a brand-new tutorial showing how to use Convai MCP (Model Context Protocol) to integrate conversational AI avatars into Unity using AI coding agents like Codex, Claude Code, and Cursor.
With Convai MCP, you can leverage your favorite AI coding tools to automate character setup, handle voice configuration, add environment objects, and enable camera-based Vision support with significantly less manual effort.
What We Cover in This Video
In this tutorial, we walk through the end-to-end workflow of using AI coding agents directly within a Unity 6 project:
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MCP Setup & Agent Integration: Configure Convai Unity MCP and connect your AI coding agent of choice. -
Conversational Logic Setup: Create a hands-free AI character demo and easily switch it over to push-to-talk. -
Scene Objects & Vision Support: Add scene props and enable Vision for the Unity camera so your AI character can observe and talk about objects in the environment. -
Rapid Prototyping: Streamline voice interactions and scene-aware behavior setup for game dev and XR projects.
Resources & Documentation
Ready to accelerate your Unity workflow with AI coding agents? Check out the links below to get started:
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Get the Plugin: Convai Unity Plugin on Asset Store -
Unity Plugin Documentation: Convai Unity SDK Overview -
Prerequisite Tutorial: Convai Unity SDK Setup Guide -
Start Building: Sign up at Convai.com to create interactive AI characters.
We’d love to hear how you are using MCP in your development pipeline! Feel free to share your thoughts, questions, or project updates in the replies below.
Happy developing!