Discover 8 MCPs built for Jupyter.
Enables interaction with Jupyter notebooks running in a local JupyterLab environment through the Model Context Protocol (MCP).
Provides a modern, systems-oriented scripting language that transpiles to Rust, optimized for data science and scientific computing.
Enables programmatic management of Jupyter notebooks, allowing interaction and manipulation of notebook content via code.
Enables AI models and CLI tools to connect with and manage Jupyter Notebooks for interactive data analysis and machine learning.
Exposes functions within a notebook environment through a REST API.
Enables interaction with Jupyter notebooks running in a local JupyterLab environment using the Model Context Protocol (MCP).
Connects large language models to a remote Jupyter server for sandboxed code execution and interpretation.
Enables interaction between Model Context Protocol (MCP) clients and Jupyter notebooks running in JupyterLab.
All results loaded