MCP server for stateful Jupyter kernel development with multi-language support (Python, TypeScript, JavaScript)
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# Jupyter Kernel MCP [](https://pypi.org/project/jupyter-kernel-mcp/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) A Model Context Protocol (MCP) server that provides stateful Jupyter kernel development with multi-language support (Python, TypeScript, JavaScript) for AI agents and assistants. ## Table of contents 1. [Project description](#project-description) 2. [Who this project is for](#who-this-project-is-for) 3. [Project dependencies](#project-dependencies) 4. [Instructions for using Jupyter Kernel MCP](#instructions-for-using-jupyter-kernel-mcp) 5. [Troubleshooting](#troubleshooting) 6. [Contributing guidelines](#contributing-guidelines) 7. [Additional documentation](#additional-documentation) 8. [How to get help](#how-get-help) 9. [Terms of use](#terms-of-use) ## Project description With _Jupyter Kernel MCP_ you can execute **Python, TypeScript, and JavaScript** code in persistent, isolated environments that maintain state between executions—perfect for AI agents performing complex data analysis and development workflows. _Jupyter Kernel MCP_ helps you build stateful AI agent workflows that can load datasets, perform transformations, and analyze results across multiple interactions without losing variables or computed state. Unlike traditional stateless code execution, _Jupyter Kernel MCP_ preserves variables, imports, and computed results between AI agent messages, enabling sophisticated multi-step data science workflows. ### Key Features - **🔄 Persistent State**: Variables and imports persist between code executions - **🌐 Multi-Language Support**: Python, TypeScript, and JavaScript kernels - **🚀 Multi-Kernel Support**: Create and manage multiple isolated kernel environments - **🤖 AI-Agent Ready**: Seamless integra…
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