s&box MCP Server
Enables AI assistants to interact with s&box game objects and components via WebSocket communication.
Model Context Protocol for s&box
[!IMPORTANT] This project is currently under active development.
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.

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.
-
Run the container
docker run -d -p 8080:8080 --name sbox-mcp-server ghcr.io/suiramdev/sbox-mcp-server:latest -
Connect your AI assistant to the running MCP Server
Manual Installation using .NET SDK
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.
-
Install the Adapter Library from the sbox-mcp-library repository
-
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"
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
Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
Related Repositories
- This Repository: sbox-mcp-server - The main MCP server component
- Adapter Library: sbox-mcp-library - s&box integration library
Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Adapter Library Support: sbox-mcp-library Issues
相关服务器
Scout Monitoring MCP
赞助Put performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
赞助Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Gru Sandbox
Gru-sandbox(gbox) is an open source project that provides a self-hostable sandbox for MCP integration or other AI agent usecases.
Kubernetes Interactive
Run and interpret Kubernetes commands interactively with a provided kubeconfig.
TemplateIO Image Generation
Generate images using the Templated.io API. Requires a Templated.io API key.
SYKE - AI Code Impact Analysis
Live dependency graph and impact analysis MCP server for AI coding agents. Runs PASS/WARN/FAIL build gates before code changes to prevent cascade failures. Supports TS, Python, Dart, Go, Rust, Java, C++, Ruby.
Tripo MCP Server
Generate 3D models with Tripo AI. Requires the external Tripo AI Blender Addon.
Wazuh MCP Server
Integrates Wazuh security data with local LLM clients.
Enhanced QR Code MCP Server
Advanced QR code generation and processing with support for custom styling, multiple formats, batch processing, and analytics.
Remote MCP Server (Authless)
An example of a remote MCP server without authentication, deployable on Cloudflare Workers.
EdgeOne Pages MCP
An MCP server implementation using EdgeOne Pages Functions for intelligent chat applications.
SDK MCP Server
An MCP server providing searchable access to multiple AI/ML SDK documentation and source code.