302 Sandbox MCP
What is 302ai 302 sandbox mcp
🤖 302AI Sandbox MCP Server🚀✨
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
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/[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
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.✨
- 🧠 Integrates the latest and most comprehensive AI capabilities and brands, including but not limited to language models, image models, voice models, and video models.
- 🚀 Develops deep applications based on foundation models - we develop real AI products, not just simple chatbots
- 💰 Zero monthly fee, all features are pay-per-use, fully open, achieving truly low barriers with high potential.
- 🛠 Powerful management backend for teams and SMEs - one person manages, many people use.
- 🔗 All AI capabilities provide API access, all tools are open source and customizable (in progress).
- 💡 Strong development team, launching 2-3 new applications weekly, products updated daily. Developers interested in joining are welcome to contact us.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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