jupyter-notebook

Execute code and read content in Jupyter notebooks via the jupyter-mcp-server.

4|1|Updated Oct 17, 2025
One-click install
npx skills add https://github.com/Spagestic/thenorthstar --skill jupyter-notebook-spagestic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jupyter-notebook
Source: https://github.com/Spagestic/thenorthstar/tree/main/.github/skills/jupyter
Command: npx skills add https://github.com/Spagestic/thenorthstar --skill jupyter-notebook-spagestic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows for the execution of code within Jupyter notebooks, enabling automated analysis and processing of data directly within a notebook environment.

Core Features & Use Cases

  • Run Cells: Execute individual cells or sequences of cells in a notebook.
  • Read Notebooks: Access and parse the content of .ipynb files.
  • Execute Python: Run Python code snippets within the notebook's kernel.
  • Use Case: You can use this Skill to automatically run a data cleaning script contained in a notebook, process results, and then read the updated notebook to analyze the output.

Quick Start

Use the jupyter-notebook skill to read the notebook file named 'data_analysis.ipynb'.

Frequently Asked Questions about jupyter-notebook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I execute Python code in Jupyter notebooks automatically?

To execute Python code in Jupyter notebooks automatically, this Skill runs individual cells or code snippets using the jupyter-mcp-server. It facilitates automated data processing and script execution directly within the notebook's kernel environment.

Can I read and parse .ipynb files to analyze notebook content?

Yes, you can read and parse .ipynb files to access their content. This Skill retrieves notebook content, allowing you to analyze the output of executed data cleaning scripts or processing results from the notebook environment.

Do I need a running jupyter-mcp-server instance to execute notebook cells?

Yes, you need a running jupyter-mcp-server instance accessible via stdio transport to execute notebook cells. This server connection is a required prerequisite for facilitating automated script execution and content retrieval.

What is the best way to automate data processing workflows in Jupyter?

The best way to automate data processing workflows in Jupyter is using this Skill to run data cleaning scripts, process results, and read updated notebook outputs. It connects via stdio transport to handle analytical and development workflows.

Why does my notebook execution fail when the server is not running?

Notebook execution fails without a running jupyter-mcp-server instance because the Skill requires this connection via stdio transport. Without the server, it cannot facilitate code execution or retrieve notebook content for analytical workflows.