Sponsored by Deepsite.site

Runno Code Sandbox

Created By
taybenlor7 months ago
The @runno/mcp server provides a run_code tool that AI assistants can use to execute code snippets in various programming languages. It leverages the @runno/sandbox package, which uses WebAssembly to create isolated environments for code execution. The result of the code execution is provided over STDIO.
Overview

What is Runno Code Sandbox?

Runno Code Sandbox is a tool that allows users to execute code snippets in various programming languages directly in the browser using WebAssembly. It provides a safe and isolated environment for running code without the need for complex installations.

How to use Runno Code Sandbox?

To use Runno, you can add the @runno/runtime package to your project and import it into your code. You can then use the provided web components to create runnable code examples on your web pages.

Key features of Runno Code Sandbox?

  • Execute code snippets in multiple programming languages (Python, Ruby, JavaScript, etc.) directly in the browser.
  • No server-side execution required, enhancing security and ease of use.
  • Supports a variety of runtimes and provides a sandboxed environment for safe code execution.

Use cases of Runno Code Sandbox?

  1. Educational platforms can embed runnable code examples in tutorials.
  2. Developers can test small code snippets without setting up a local environment.
  3. Content creators can enhance their blogs with interactive coding examples.

FAQ from Runno Code Sandbox?

  • What programming languages does Runno support?

Runno supports Python, Ruby, JavaScript, C, C++, and more through WebAssembly.

  • Is it safe to run code in Runno?

Yes, Runno runs code in a sandboxed environment to minimize security risks.

  • Do I need to install anything to use Runno?

No, you can run code directly in your browser without any installations.

Server Config

{
  "mcpServers": {
    "runno": {
      "command": "/usr/local/bin/npx",
      "args": [
        "@runno/mcp"
      ]
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Playwright McpPlaywright MCP server
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
CursorThe AI Code Editor
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Serper MCP ServerA Serper MCP Server
DeepChatYour AI Partner on Desktop
Amap Maps高德地图官方 MCP Server
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
ChatWiseThe second fastest AI chatbot™
Tavily Mcp
WindsurfThe new purpose-built IDE to harness magic
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.