jupyter-ai

What it is and what it does

Jupyter AI extends JupyterLab with a native chat interface that connects to agentic AI systems through the Agent Client Protocol (ACP) and Model Context Protocol (MCP). It allows you to collaborate with frontier AI agents—including Claude, Codex, GitHub Copilot, Gemini, and others—directly within your computational notebooks. Agents can read and write files, execute terminal commands, and interact with notebooks through a built-in MCP server, all governed by a permission system that requires approval before sensitive actions.

The extension is designed for flexibility and extensibility. You can add custom MCP servers to give agents access to domain-specific tools and resources, create multiple concurrent chats, drag and drop files or notebook cells as context, and collaborate in real time with other users on the same server. By building on open standards like ACP and MCP, it avoids vendor lock-in and integrates with the broader ecosystem of compatible agents and tools.

Use it for:

• Pair-program with AI agents in notebooks, having them write and debug code with your approval.
• Delegate file operations and terminal commands to agents while maintaining control through a permission system.
• Build domain-specific agent capabilities by adding custom MCP servers for specialized tools and data access.
• Collaborate with teammates in real time on the same notebook server with shared AI agent chats.
• Extend agent functionality by creating custom AI personas using the entry points API.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Jupyter AI is a JupyterLab extension that integrates agentic AI into computational notebooks, enabling collaboration with frontier AI agents through a native chat UI with file and command execution capabilities.

Yes. Jupyter AI is actively maintained, has low install friction, carries a permissive BSD license, and integrates cleanly into JupyterLab 4 with modern Python support (3.9–3.13). It fills a genuine need for agentic AI in notebooks and avoids vendor lock-in through open standards. Install it if you use JupyterLab and want AI agent collaboration; the modular design means you only pay for what you use.

Install

jupyter-ai on PyPI

pip install jupyter-ai

uv add jupyter-ai

poetry add jupyter-ai

Installing jupyter-ai

Before you install

Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and 4370 repository stars. It depends on 10 runtime packages including jupyter-server-mcp and jupyterlab-chat, all of which are part of the Jupyter ecosystem.

License in practice

BSD 3-Clause License permits commercial and private use with minimal restrictions, requiring only retention of copyright notice and disclaimer in source and binary distributions.

Quickstart

pip install jupyter-ai
# Then in JupyterLab, install an agent (e.g., pip install jupyter-ai-acp-client)
# Chat UI appears in JupyterLab sidebar; agents auto-detect when dependencies are installed

Requires JupyterLab 4 and Python 3.9 or later; agents require their own dependencies to be installed separately for auto-detection.

Verify before relying

• Whether all 10 runtime dependencies are automatically installed or require manual setup
• Specific AI agent providers supported beyond those named in the description
• Real-time collaboration feature requirements and server configuration

Package facts

Evidence: jupyter_ai-3.1.3-py3-none-any.whl

Keywords: jupyter, jupyter-ai, jupyterlab, jupyterlab-extension

Tags

More Artificial Intelligence packages

Further reading