[!IMPORTANT]

Project Discontinued

Development of this library has been discontinued.

I decided to stop maintaining this project as the MCP ecosystem for s&box started moving forward in a different direction. Around the same time, Braxen began developing their own MCP, and multiple other MCPs started to be released.

The main issue with this library is that it required building and running an external bridge server between the coding agent and the game engine. While this approach worked, it was not easy to set up, was painful to maintain, and added unnecessary complexity for users.

In the end, I moved toward a different solution: sdocs.suiram.dev, an MCP focused on providing agents with better context about the s&box documentation and API.

This turned out to be more useful than an MCP that directly bridges with the game engine. The bigger problem was not engine communication, but the lack of reliable documentation and API context available to coding agents.

This repository will remain available for reference, but it should be considered deprecated and is no longer actively developed.

Model Context Protocol for s&box

A Model Context Protocol (MCP) server that enables AI assistants to interact with the s&box editor through real-time WebSocket communication.

This MCP server works in conjunction with the separate s&box Adapter Library to provide seamless integration between AI assistants and your s&box projects.

Architecture

This MCP Server acts as a bridge between:

• AI Assistant ↔ This MCP Server ↔ s&box Adapter Library ↔ s&box Editor

The MCP Server:

• Receives commands from AI assistants via the Model Context Protocol
• Translates MCP tool calls into structured WebSocket commands
• Sends commands to the s&box Adapter Library for execution
• Returns responses back to AI assistants

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Adapter Library Support: sbox-mcp-library Issues

Prerequisites

• Docker (recommended) or .NET SDK (for manual installation)
• s&box
• An AI assistant that supports MCP (for example, Cursor, Claude Desktop, etc.) is suggested

Quick Start

Step 1: Install and Run the MCP Server

To get started, make sure you have Docker installed on your system. Cursor users can simply click the button below to install and launch the MCP Server automatically, or you can follow the manual instructions below.

1. Run the container

   Copy

   docker run -d -p 8080:8080 --name sbox-mcp-server ghcr.io/suiramdev/sbox-mcp-server:latest

2. Connect your AI assistant to the running MCP Server

   

Step 2: Install the Adapter Library in s&box

To enable interaction with s&box, you need to install the adapter library. This library allows the MCP Server to communicate with the s&box editor.

1. Install the Adapter Library from the sbox-mcp-library repository

2. Follow the setup instructions in the Adapter Library repository to:

   • Install the library in your s&box project through the Asset Library
   • Connect to this MCP Server

[!IMPORTANT] The server must be running for the s&box adapter library to function. Please ensure the server is running before proceeding to the next step.

Usage

Once both this MCP Server and the s&box Adapter Library are installed and connected, you can interact with your s&box editor using natural language through your AI assistant:

"Create a ModelRenderer component on the Cube object"
"Find all game objects named 'Player'"
"Set the Scale property of the Transform component on MainCamera to 2,2,2"
"Remove the Rigidbody component from the Ball object"
"Show me all components attached to the Ground object"