by 302ai
302AI Sandbox MCP Server: an MCP (Model Context Protocol) server for Claude Desktop connecting to 302AI APIs for seamles
Provides a code sandbox environment through 302AI's API services, allowing AI assistants to safely execute code in isolated containers.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
I recommend 302AI Sandbox MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired 302AI Sandbox MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated 302AI Sandbox MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
302AI Sandbox MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
302AI Sandbox MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
302AI Sandbox MCP Server reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
302AI Sandbox MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, 302AI Sandbox MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
302AI Sandbox MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired 302AI Sandbox MCP Server into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Here are some usage examples


Here is the list of supported tools

stdin mode locally, or host it as a remote HTTP serverInstall dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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/[email protected]"
],
"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

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.
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.✨
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.