Jupyter code executor mcp server
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# Jupyter Code Executor MCP Server [](https://www.python.org/downloads/) [](https://pypi.org/project/jupyter-code-executor-mcp-server/) [](https://opensource.org/licenses/MIT) [](https://pypi.org/project/mcp/) A powerful **Model Context Protocol (MCP)** server that enables AI assistants to execute code in multiple programming languages through Jupyter kernels. This server provides **stateful** and **stateless** code execution capabilities with session management, automatic cleanup, and comprehensive data analysis tools. ## ✨ Key Features ### 🚀 Multi-Language Code Execution - **Universal Kernel Support**: Execute code in any language with an installed Jupyter kernel (Python, R, Julia, etc.) - **Dual Execution Modes**: - **Stateful Sessions**: Maintain variable context across multiple executions within the same session - **Stateless Execution**: One-off code execution without persistent context ### 🎯 Built-in Data Analysis Capabilities - **Pre-configured Environment**: Includes essential data science libraries (Pandas, NumPy, Scikit-learn, Seaborn, etc.) - **Expert Prompt Templates**: Built-in data analyst prompt with best practices for EDA, ML, and visualization - **Professional Visualizations**: Seaborn and Matplotlib integration for publication-quality charts ## 📋 Prerequisites - **Python**: >= 3.11 - **uv**: Modern Python package installer (recommended) - **Jupyter**: Jupyter kernels for your target languages ## 🔧 Installation ### Using uv (Recommended) ```bash # Install the package uv pip install jupyter-code-executor-mcp-server # Or install from source git clone https://github.com/twn39/jupyter-code-executor-mcp-server.git cd jupyter-code-executor-mcp-server uv sync…
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