🤖 302AI Sandbox MCP Server🚀✨

An MCP service with code sandbox that allows AI assistants to safely execute arbitrary code.

中文 | English | 日本語

Previews

Here are some usage examples

Here is the list of supported tools

✨ Features ✨

• 🔧 Dynamic Loading - Automatically update tool list from remote server.
• 🌐 Multi modes supported, you can use stdin mode locally, or host it as a remote HTTP server

🚀 Tool List

• One-click Code Execution
• Create Sandbox
• Query Your Sandbox List
• Destroy Sandbox
• Run-Code
• Run Command Line
• Query File Information at Specified Path
• Import File Data into Sandbox
• Export Sandbox Files

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

✨ About 302.AI ✨

302.AI is an enterprise-oriented AI application platform that offers pay-as-you-go services, ready-to-use solutions, and an open-source ecosystem.✨

1. 🧠 Integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, voice models, and video models.
2. 🚀 Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
3. 💰 Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
4. 🛠 Powerful management backend for teams and SMEs - one person manages, many people use.
5. 🔗 All AI capabilities provide API access, all tools are open source and customizable (in progress).
6. 💡 Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "302ai-sandbox-mcp": {
      "command": "npx",
      "args": ["-y", "@302ai/sandbox-mcp"],
      "env": {
        "302AI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

To use with Cherry Studio, add the server config:

{
  "mcpServers": {
    "Li2ZXXJkvhAALyKOFeO4N": {
      "name": "302ai-sandbox-mcp",
      "description": "",
      "isActive": true,
      "registryUrl": "",
      "command": "npx",
      "args": [
        "-y",
        "@302ai/sandbox-mcp@0.2.0"
      ],
      "env": {
        "302AI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

To use with ChatWise, copy the following content to clipboard

{
  "mcpServers": {
    "302ai-sandbox-mcp": {
      "command": "npx",
      "args": ["-y", "@302ai/sandbox-mcp"],
      "env": {
        "302AI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Go to Settings -> Tools -> Add button -> Select Import from Clipboard

Find Your 302AI_API_KEY here

Using Tutorials

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.