jjsantos01/jupyter-notebook-mcp

Overview

A Model Context Protocol (MCP) server that connects AI assistants to Jupyter Notebook environments. It allows agents to execute code, create and modify notebooks, and inspect outputs through a standardized interface.

Best for

Best for
Developers building AI agents that need to execute and inspect Python code in Jupyter notebooks

Use cases

• Automating notebook creation and cell execution from AI prompts
• Running data analysis scripts in Jupyter via an MCP client
• Integrating Jupyter workflows into agent-based development tools

Notes

A Model Context Protocol (MCP) server that connects AI assistants to Jupyter Notebook environments. It allows agents to execute code, create and modify notebooks, and inspect outputs through a standardized interface.

129 stars on GitHub. Last updated 2025-04-02. Licensed MIT.

Use cases

• Automating notebook creation and cell execution from AI prompts
• Running data analysis scripts in Jupyter via an MCP client
• Integrating Jupyter workflows into agent-based development tools

Pros

• Enables direct AI interaction with live Jupyter kernels
• Lightweight and focused on a single, well-defined protocol
• Open source with a growing community (129 stars)

Cons

• Requires an MCP-compatible client to be useful
• Limited to Jupyter Notebook environments only
• Relatively new project with fewer integrations and documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.