datalayer_jupyter-mcp-server
If you are the rightful owner of datalayer_jupyter-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Jupyter MCP Server is a Model Context Protocol server implementation for interacting with Jupyter notebooks.
Jupyter MCP Server is a robust implementation of the Model Context Protocol (MCP) designed to facilitate seamless interaction with Jupyter notebooks running in a local JupyterLab environment. It leverages the capabilities of Jupyter Real Time Collaboration (RTC) to allow multiple users to collaborate on notebooks in real-time. The server is particularly useful for developers and data scientists who need to execute code and manage notebook content programmatically. By integrating with Claude Desktop, users can run the server in a Docker container, ensuring a consistent and isolated environment. The server supports adding and executing code cells, as well as adding markdown cells, making it a versatile tool for notebook management.
Features
- Real-time collaboration support with Jupyter RTC.
- Docker containerization for consistent environments.
- Integration with Claude Desktop for enhanced usability.
- Programmatic management of Jupyter notebook content.
- Support for adding and executing code and markdown cells.
