jupyter-mcp-server and matlab-mcp-server
These are ecosystem siblings—both are MCP server implementations that expose different computational environments (Jupyter and MATLAB respectively) to Claude and other MCP clients, following the same protocol standard to enable AI-assisted development across multiple technical platforms.
About jupyter-mcp-server
datalayer/jupyter-mcp-server
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
This project helps AI agents connect to and control Jupyter Notebooks in real-time. It takes instructions from an AI client (like Claude Desktop) and translates them into actions within a Jupyter environment, such as running code, managing cells, and reading outputs. It's designed for developers building AI agents or applications that need to automate data analysis, scientific computing, or scripting workflows within Jupyter.
About matlab-mcp-server
subspace-lab/matlab-mcp-server
Matlab MCP Server in python
This tool helps researchers, engineers, and data scientists using MATLAB to integrate it with modern AI coding assistants like Claude Code, Cursor, or VS Code Copilot. It allows you to send commands and scripts to MATLAB, manage variables, create plots, and handle data import/export, all from your AI coding environment. The output includes executed code results, updated variables, and generated figures, making your MATLAB workflows more efficient within your AI development setup.
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