MCP server for editing Jupyter notebooks (.ipynb) with 23 cell-level tools: create, read, search and restructure cells, manage outputs and metadata, and execute cells on a live Jupyter kernel (python3 built in; R, Julia via installed kernels). Built on nbformat and jupyter_client.
A FastMCP server for loading, editing, searching, and saving Jupyter notebooks (.ipynb) through MCP tools. It maintains a single active notebook session with live cell indices that update as cells are inserted or removed.
AI-powered MCP server for connecting and managing Jupyter Notebooks. Enables interactive code execution, multi-notebook management, and multimodal output for data analysis, visualization, and machine learning.
An MCP server for programmatically editing Jupyter notebooks, offering 29 tools for reading, modifying, and batch-processing notebooks without requiring a Jupyter server.