Hopx Ai Sandboxes
About
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.
Details
- Author
- hopx-ai
- Downloads
- 317
- Categories
- Developer Tools
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Hopx Ai SandboxesCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
—
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"hopx ai sandboxes": {
"hopx-sandbox": {
"command": "uvx",
"args": [
"hopx-mcp"
],
"env": {
"HOPX_API_KEY": "<YOUR HOPX API KEY>"
}
}
}
}
}
McpServers
{
"hopx-sandbox": {
"command": "uvx",
"args": [
"hopx-mcp"
],
"env": {
"HOPX_API_KEY": "<YOUR HOPX API KEY>"
}
}
}
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.
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