The ipybox server provides a secure, sandboxed IPython kernel environment in a Docker container for executing Python code with state preservation across executions.

• Execute Python code securely within a stateful IPython kernel that preserves variables, imports, and definitions across calls

• Support direct execution of asynchronous Python code within the kernel's active event loop

• Install Python packages at runtime using !pip install commands

• Upload files from the host to the container's /app directory for use in code execution

• Download files from the container's /app directory to retrieve results or generated artifacts

• Stream code execution output as it is generated

• Return plots generated with visualization libraries

• Reset the IPython kernel to a clean state, clearing memory while preserving installed packages and files

Provides secure Python code execution in Docker containers with IPython kernels, supporting data analytics, package installation, and plot generation with configurable network restrictions

Enables safe execution of Python code through IPython kernels in sandboxed environments, supporting stateful code execution, package management, and visualization library output

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ipybox run this Python code to calculate the average of these numbers: [45, 67, 89, 23, 56]"

That's it! The server will respond to your query, and you can continue using it as needed.

Here is a step-by-step guide with screenshots.