jupyter-mcp-server
Active·★ 1.3k·BSD-3-Clause·Updated 2026-10-05
★ Trending★ Essential
Jupyter MCP Server is an AI-centric server enabling real-time connection and management of Jupyter Notebooks through the Model Context Protocol. It allows AI agents to scale code execution sandboxes from local environments to various cloud platforms.
#Jupyter#MCP#AI Agents#Notebook Management#Code Sandbox#Real-time#Cloud Integration#Python
01
Features
01Real-time notebook control and visualization of changes.
02Smart execution with automatic adjustment for cell failures based on output feedback.
03Multimodal output support, including images, plots, and text.
04Seamless multi-notebook management and switching capabilities.
02
Compatibility
Python
Runtime
Verified via docs
Jupyter
Integration
Verified via docs
JupyterHub
Platform
Verified via docs
Datalayer
Platform
Verified via docs
Kaggle
Platform
Verified via docs
Google Colab
Platform
Verified via docs
03
Quick start
1
$ pip install jupyter-mcp-server
04
Use cases
↳Enable AI agents to connect to and manage Jupyter Notebooks in real-time for code execution and data analysis.
↳Scale code execution environments (sandboxes) from local setups to various cloud platforms like Datalayer, Kaggle, or Google Colab.
↳Integrate with MCP clients (e.g., Claude Code plugin) to provide AI with advanced tools for interacting with Jupyter kernels and files.
05
Alternatives
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