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Jupyter MCP Server

by Datalayer

Integrationjupyterservernotebookjupyterlabcollaborationclaude

Jupyter MCP Server is a Model Context Protocol (MCP) server implementation. It provides interaction with Jupyter notebooks running in a local JupyterLab.

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What is Jupyter MCP Server?

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to facilitate communication and interaction with Jupyter notebooks within a JupyterLab environment. It allows external applications, such as Claude Desktop, to interact with and modify Jupyter notebooks programmatically.

How to use Jupyter MCP Server?

To use the Jupyter MCP Server, you need to install JupyterLab and related packages. Start JupyterLab with a specific port and token. Then, configure your client application (e.g., Claude Desktop) with the server URL, token, and notebook path. The provided configurations for MacOS, Windows, and Linux demonstrate how to set up the server using Docker.

Key features of Jupyter MCP Server

  • Model Context Protocol (MCP) support

  • Integration with JupyterLab

  • Real-time collaboration (RTC) support

  • Dockerized deployment

  • Tools for adding and executing code cells

  • Tools for adding markdown cells

Use cases of Jupyter MCP Server

  • Integrating Jupyter notebooks with AI assistants like Claude Desktop

  • Automating notebook execution and modification

  • Building interactive data analysis workflows

  • Creating custom tools for JupyterLab

FAQ from Jupyter MCP Server

What is MCP?

MCP stands for Model Context Protocol, a standard for communication between applications and models.

What is JupyterLab?

JupyterLab is a web-based interactive development environment for working with notebooks, code, and data.

How do I install JupyterLab?

You can install JupyterLab using pip: pip install jupyterlab

How do I configure the server URL?

The server URL should point to the address where JupyterLab is running, including the port.

What is the purpose of the token?

The token is used for authentication and authorization when connecting to JupyterLab.