Model Context Protocol (MCP) server for HOPX. Enables AI assistants to execute code in isolated cloud containers.
Hopx Ai Sandboxes is an MCP project maintained in the hopx-ai/mcp repository. The maintainer describes its purpose as “Model Context Protocol (MCP) server for HOPX. Enables AI assistants to execute code in isolated cloud containers”. Read the project documentation for the complete scope.
The documented pypi package is hopx-mcp. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares HOPX_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| create_sandbox | ) - Create sandbox |
| list_sandboxes | ) - List sandboxes |
| delete_sandbox | ) - Terminate sandbox |
| execute_code_isolated | ) - One-shot execution (recommended) |
| execute_code | ) - Execute in existing sandbox |
| execute_code_background | ) - Long-running tasks |
| execute_code_async | ) - Webhook callbacks for 30+ min tasks |
| file_read | ), file_write(), file_list() |
| file_exists | ), file_remove(), file_mkdir() |
| run_command | ) - Execute shell commands |
| run_command_background | ) - Background processes |
| env_get | ), env_set(), env_clear() |
{
"mcpServers": {
"hopx-sandbox": {
"command": "uvx",
"args": [
"hopx-mcp"
],
"env": {
"HOPX_API_KEY": "YOUR_HOPX_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| HOPX_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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