developer-tools

302AI Sandbox MCP Server

by 302ai

302AI Sandbox MCP Server: an MCP (Model Context Protocol) server for Claude Desktop connecting to 302AI APIs for seamles

A Model Context Protocol (MCP) server for Claude Desktop that connects to 302AI's API services, allowing users to integrate and leverage 302AI capabilities through a structured communication interface.

github stars

22

Dynamic tool loading from remote serverMultiple deployment modes (local/remote)9 sandbox management tools

best for

  • / AI assistants needing safe code execution
  • / Testing code snippets without local setup
  • / Educational environments requiring isolated execution
  • / Development workflows with temporary containers

capabilities

  • / Execute code in secure sandboxes
  • / Create and manage multiple sandbox instances
  • / Run command line operations in containers
  • / Import and export files to/from sandboxes
  • / Query file information within sandbox environments
  • / Destroy sandbox instances when finished

what it does

Provides a code sandbox environment through 302AI's API services, allowing AI assistants to safely execute code in isolated containers.

about

302AI Sandbox MCP Server is a community-built MCP server published by 302ai that provides AI assistants with tools and capabilities via the Model Context Protocol. 302AI Sandbox MCP Server: an MCP (Model Context Protocol) server for Claude Desktop connecting to 302AI APIs for seamles It is categorized under developer tools.

how to install

You can install 302AI Sandbox MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

302AI Sandbox MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

<p align="center">🤖 302AI Sandbox MCP Server🚀✨</p>

<p align="center">An MCP service with code sandbox that allows AI assistants to safely execute arbitrary code.</p> <p align="center"><a href="https://www.npmjs.com/package/@302ai/sandbox-mcp" target="blank"><img src="https://file.302.ai/gpt/imgs/github/20250102/72a57c4263944b73bf521830878ae39a.png" /></a></p > <p align="center"><a href="README_zh.md">中文</a> | <a href="README.md">English</a> | <a href="README_ja.md">日本語</a></p>

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

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

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.

✨ 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.

FAQ

What is the 302AI Sandbox MCP Server MCP server?
302AI Sandbox MCP Server is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for 302AI Sandbox MCP Server?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    302AI Sandbox MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated 302AI Sandbox MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: 302AI Sandbox MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    302AI Sandbox MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend 302AI Sandbox MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: 302AI Sandbox MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    302AI Sandbox MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, 302AI Sandbox MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired 302AI Sandbox MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    302AI Sandbox MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.