MCP Server for Unity: Real-Time Context & Enterprise Reliability

MCP Server for Unity: Seamlessly integrate AI models, power real-time context, and boost creativity with enterprise-grade reliability. Elevate your projects effortlessly!

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About MCP Server for Unity

What is MCP Server for Unity: Real-Time Context & Enterprise Reliability?

The MCP Server for Unity is a professional-grade integration tool that bridges Unity game engine workflows with cutting-edge AI platforms like Claude AI, Cursor AI, and Windsurf. It provides real-time access to Unity's core development environment while ensuring enterprise-level stability through secure API communication and configurable server parameters. This solution empowers developers to leverage AI-driven insights directly within their project pipelines.

Key Features of MCP Server for Unity: Real-Time Context & Enterprise Reliability

Cross-platform AI integration: Supports simultaneous connection to multiple AI services via standardized Model Context Protocol
Deep Unity ecosystem access: Grants AI systems programmatic access to console logs, scene hierarchies, asset databases, and inspector properties
Production-ready configuration: Adjustable server parameters including port binding, update frequency (1-60 seconds), and log verbosity control
Security-first architecture: Role-based API key management with optional HTTPS encryption

MCP Server for Unity Features

How to Use MCP Server for Unity: Real-Time Context & Enterprise Reliability

Implement in four core steps:

Deployment: Install via Unity Package Manager using https://github.com/folkward99/mcp-server.git or manual folder injection
Configuration: Set API credentials in the MCP Server window and customize server settings to match project requirements
Initialization: Launch the background server process which maintains persistent AI connections
Integration: Use provided API endpoints in Unity scripts or external tools to trigger AI workflows

Use Cases of MCP Server for Unity: Real-Time Context & Enterprise Reliability

Automated error analysis using AI-driven log monitoring
Real-time scene optimization suggestions during prototyping
Asset catalog management with AI-powered search and categorization
Multi-user collaboration frameworks using shared server instances
CI/CD pipeline integration for AI-assisted build validation

MCP Server for Unity FAQ

FAQ from MCP Server for Unity: Real-Time Context & Enterprise Reliability

What AI platforms are officially supported?: Claude AI (get API key), Cursor AI (sign up here), and Windsurf (developer portal)
Does this require cloud infrastructure?: No - server runs locally by default but can be deployed on remote servers for enterprise scalability
How are security concerns addressed?: End-to-end encryption options and role-based access control prevent unauthorized API access
Can I use multiple AI services simultaneously?: Yes - the protocol allows parallel connections for hybrid AI workflows
What Unity versions are compatible?: Supported from Unity 2020 LTS onwards with .NET Standard 2.1 compatibility

Content

Model Context Protocol (MCP) Server for Unity

A Unity package that connects Unity with AI assistants (Claude, Cursor AI, and Windsurf) through the Model Context Protocol.

Features

Connect Unity with multiple AI services:
- Claude AI
- Cursor AI
- Windsurf
Enable AI services to access:
- Unity Console (errors, warnings, logs)
- Project Browser (assets)
- Scene Hierarchy (GameObjects)
- Inspector (properties)

Installation

Using Git URL

Open the Unity Package Manager (Window > Package Manager)
Click the "+" button in the top-left corner
Select "Add package from git URL..."
Enter the following URL: https://github.com/folkward99/mcp-server.git
Click "Add"

Manual Installation

Clone this repository
Copy the contents to your Unity project's Packages folder

Usage

Open the MCP Server window (Window > MCP > Server)
Configure your AI service credentials
Start the server
Connect your AI assistant to the provided endpoint

Configuration

API Keys

To use the MCP Server, you'll need API keys for the AI services you want to connect:

Claude AI: Get API Key
Cursor AI: Get API Key
Windsurf: Get API Key

Server Settings

Port: The port number for the MCP server (default: 8080)
Update Frequency: How often to send updates to AI services (in seconds)
Log Level: Detail level for server logs

Documentation

For detailed documentation, see the Documentation folder.

Examples

Check out the example scenes in the Samples~/Examples folder to see the MCP Server in action.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.