Hopx Ai Sandboxes

Created By

mcp8 months ago

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.

Overview Content Tools Comments

Overview

what is Hopx Ai Sandboxes?

Hopx Ai Sandboxes is a platform that allows users to execute Python, JavaScript, Bash, and Go code in isolated cloud containers with quick startup times, making it ideal for data analysis and code testing.

how to use Hopx Ai Sandboxes?

To use Hopx Ai Sandboxes, set up your environment by providing your HOPX API key and execute your code in the provided cloud containers. You can access the platform through the GitHub repository.

key features of Hopx Ai Sandboxes?

Supports multiple programming languages: Python, JavaScript, Bash, and Go.
Sub-150ms startup times for quick execution.
Pre-installed data science libraries such as pandas, numpy, and matplotlib for efficient data analysis.

use cases of Hopx Ai Sandboxes?

Rapid prototyping of data science applications.
Testing and debugging code snippets in a secure environment.
Performing AI-powered data analysis with pre-installed libraries.

FAQ from Hopx Ai Sandboxes?

What programming languages are supported?

Hopx Ai Sandboxes supports Python, JavaScript, Bash, and Go.

How fast is the startup time?

The platform boasts sub-150ms startup times for executing code.

Are there any pre-installed libraries?

Yes, it comes with popular data science libraries like pandas, numpy, and matplotlib pre-installed.

Try in Playground

Server Config

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

Project Info

Created At

8 months ago

Updated At

8 months ago

Author Name

mcp

Star

-

Language

-

License

-

Category

developer-tools

Tags

Homepage

https://github.com/hopx-ai/mcp/

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