Jupyter Interpreter MCP

Example Use Cases

• 1

  Execute Python or bash code remotely with persistent session state.

• 2

  Isolated, sandboxed environments for code execution backed by a Jupyter server.

• 3

  Manage files and code execution within remote Jupyter sessions securely.

Description

This MCP server connects to a remote Jupyter server to offer a persistent and isolated code execution environment similar to Jupyter notebooks. It supports executing Python code and bash commands within sessions that maintain state and filesystem isolation. The server enables file management within session directories and enforces secure upload restrictions, making it suitable for remote code interpretation and development workflows.