Jupyter MCP Server Client

what is Jupyter MCP Server Client?

Jupyter MCP Server Client is a Docker-based client designed to connect to a Jupyter server with multi-collaborative protocol support, enabling collaborative work on Jupyter notebooks.

how to use Jupyter MCP Server Client?

To use the Jupyter MCP Server Client, set up your Python environment, create a new notebook, and start the Jupyter server. You can also build and run the client container using Docker for testing.

key features of Jupyter MCP Server Client?

• Docker-based client for Jupyter server connection
• Support for multi-collaborative protocols
• Easy setup with Python and Docker
• Integration with Claude desktop for enhanced functionality

use cases of Jupyter MCP Server Client?

1. Collaborative data analysis using Jupyter notebooks.
2. Real-time editing and sharing of notebooks among multiple users.
3. Testing and running Jupyter notebooks in a Docker environment.

FAQ from Jupyter MCP Server Client?

• What are the prerequisites for using Jupyter MCP Server Client?

You need Python 3.12.10, Docker, and Git installed on your machine.

• How do I start the Jupyter server?

You can start the Jupyter server by running the command jupyter lab --port 8888 --IdentityProvider.token MY_TOKEN --ip 0.0.0.0.

• Can I run the client without Docker?

While Docker is recommended for ease of use, you can run the client directly if you set up the environment correctly.