Notebook Intelligence

what is Notebook Intelligence? Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab, enhancing productivity by integrating AI assistance from various LLM providers, including GitHub Copilot. how to use Notebook Intelligence? To use NBI, install it via pip in your JupyterLab environment and configure your preferred LLM provider through the settings dialog. You can then utilize its features directly within JupyterLab. key features of Notebook Intelligence? AI-assisted code generation with inline chat Auto-completion of code snippets Support for multiple LLM providers and models Integration with Model Context Protocol (MCP) for advanced functionalities use cases of Notebook Intelligence? Assisting in writing complex code snippets in Jupyter notebooks. Providing real-time code suggestions and completions. Integrating with various AI models for enhanced coding capabilities. FAQ from Notebook Intelligence? What is required to install Notebook Intelligence? NBI requires JupyterLab version 4.0.0 or higher. Can I use my own AI models with NBI? Yes! NBI supports any LLM provider and allows you to configure your own models. How does NBI handle GitHub Copilot login? NBI uses a system keyring to store GitHub access tokens and can remember your login across sessions.

As an MCP (Model Context Protocol) server, Notebook Intelligence enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use NBI, install it via pip in your JupyterLab environment and configure your preferred LLM provider through the settings dialog. You can then utilize its features directly within JupyterLab. key features of Notebook Intelligence? AI-assisted code generation with inline chat Auto-completion of code snippets Support for multiple LLM providers and models Integration with Model Context Protocol (MCP) for advanced functionalities use cases of Notebook Intelligence? Assisting in writing complex code snippets in Jupyter notebooks. Providing real-time code suggestions and completions. Integrating with various AI models for enhanced coding capabilities. FAQ from Notebook Intelligence? What is required to install Notebook Intelligence? NBI requires JupyterLab version 4.0.0 or higher. Can I use my own AI models with NBI? Yes! NBI supports any LLM provider and allows you to configure your own models. How does NBI handle GitHub Copilot login? NBI uses a system keyring to store GitHub access tokens and can remember your login across sessions.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.