LLM Sandbox

Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.

GitHub · PyPI · Website · Registry

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Install

Run it directly:

uvx llm-sandbox

Or add it to your client config (Claude Desktop claude_desktop_config.json, Cursor .cursor/mcp.json):

{
  "mcpServers": {
    "llm-sandbox": {
      "command": "uvx",
      "args": [
        "llm-sandbox"
      ]
    }
  }
}

Generated from the package metadata in the official MCP Registry. MCP Morning does not run or test servers; check required environment variables in the project README.

Alternatives