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---
name: "Run Agent-Assisted Notebook Workflows in JupyterLab With Notebook Intelligence"
slug: "run-agent-assisted-notebook-workflows-in-jupyterlab-with-notebook-intelligence"
description: "Use Notebook Intelligence to add chat, inline edit, autocomplete, MCP tools, Claude Code mode, and coding-agent launchers directly inside JupyterLab."
github_stars: 322
verification: "security_reviewed"
source: "https://github.com/plmbr/notebook-intelligence"
author: "Mehmet Bektas"
publisher_type: "individual"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "plmbr/notebook-intelligence"
github_stars: 322
npm_package: "@plmbr/notebook-intelligence"
npm_weekly_downloads: 475
---
# Run Agent-Assisted Notebook Workflows in JupyterLab With Notebook Intelligence
Use Notebook Intelligence to add chat, inline edit, autocomplete, MCP tools, Claude Code mode, and coding-agent launchers directly inside JupyterLab.
## Prerequisites
Python environment with JupyterLab, notebook-intelligence, optional Node.js for Claude Code and MCP server launchers, and an LLM provider such as GitHub Copilot, OpenAI-compatible/LiteLLM endpoint, Ollama, or Claude Code
## Installation
Install or set up from the source-backed instructions:
Install with pip install notebook-intelligence, restart JupyterLab, open the NBI panel, configure a provider or enable Claude mode, and optionally add MCP servers in ~/.jupyter/nbi/mcp.json or use launcher tiles for installed agent CLIs.
- Source: https://github.com/plmbr/notebook-intelligence
## Documentation
- https://nbi.plmbr.dev
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-agent-assisted-notebook-workflows-in-jupyterlab-with-notebook-intelligence/)
