Hopx Ai Sandboxes MCP Server

@hopx-ai

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

hopx-ai

提交者

Alex Oprisan

关于 Hopx Ai Sandboxes MCP Server

Execute Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. Pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing.

#sandbox #data-science#cloud-computing

Hopx Ai Sandboxes MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "hopx-sandbox": {
      "command": "uvx",
      "args": [
        "hopx-mcp"
      ],
      "env": {
        "HOPX_API_KEY": "<YOUR HOPX API KEY>"
      }
    }
  }
}

Hopx Ai Sandboxes MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Hopx Ai Sandboxes?

Hopx Ai Sandboxes executes Python, JavaScript, Bash, and Go code in isolated cloud containers with sub-150ms startup times. It comes with pre-installed data science libraries (pandas, numpy, matplotlib) for AI-powered data analysis and code testing.

How to use Hopx Ai Sandboxes?

—

Key features of Hopx Ai Sandboxes

Execute Python, JavaScript, Bash, and Go code
Isolated cloud containers for each session
Sub-150 millisecond startup times
Pre-installed pandas, numpy, and matplotlib
Designed for AI-powered data analysis and testing

Use cases of Hopx Ai Sandboxes

Run data science workflows with pre-installed libraries
Test code snippets across multiple languages quickly
Perform AI-powered data analysis in sandboxed environments

常见问题

What languages are supported?

Python, JavaScript, Bash, and Go are supported.

What data science libraries are pre-installed?

pandas, numpy, and matplotlib are pre-installed.

How fast does the sandbox start?

Startup time is under 150 milliseconds.

Are the execution environments isolated?

Yes, code runs in isolated cloud containers.

What is this server used for?

It is designed for AI-powered data analysis and code testing.

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