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Hopx Ai Sandboxes MCP Server

@hopx-ai

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

hopx-ai

Submitted by

Alex Oprisan

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

Hopx Ai Sandboxes MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

1

What languages are supported?

Python, JavaScript, Bash, and Go are supported.

2

What data science libraries are pre-installed?

pandas, numpy, and matplotlib are pre-installed.

3

How fast does the sandbox start?

Startup time is under 150 milliseconds.

4

Are the execution environments isolated?

Yes, code runs in isolated cloud containers.

5

What is this server used for?

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

Comments

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