MCP Sandbox
About
An interactive sandbox to safely execute Python code and install packages in isolated Docker containers.
Details
- Author
- JohanLi233
- GitHub stars
- 40
- Downloads
- 596
- Categories
- Developer Tools, Other, AI, Automation
Jump to
- Docker isolation for secure code execution
- Package management with custom PyPI mirrors
- File generation with web link access
- Optional API key authentication
- Built-in web UI for managing sandboxes
- SSE support for real-time MCP integration
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
MCP SandboxCommand (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
Clone the repository, install dependencies using uv venv and uv sync, then start the server with uv run main.py. Configuration (host, port, PyPI mirror) can be customized in config.toml. The default SSE endpoint is http://127.0.0.1:8181/sse. For Claude Desktop, configure via supergateway pointing to the SSE URL, optionally including an API key if authentication is enabled.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp sandbox": {
"mcp-sandbox": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}McpServers
{
"mcp-sandbox": {
"command": "uv",
"args": [
"venv"
]
}
}MCP Sandbox
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