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Jiang-Yude
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notebooklm-connector

Integrate Google NotebookLM with conversational AI assistants for direct queries and source management.

11|6|Updated May 4, 2026
Search Tags:#ai integration#google#source management#notebooklm#content export
One-click install
npx skills add https://github.com/Jiang-Yude/notebooklm-connector --skill notebooklm-connector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: notebooklm-connector
Source: https://github.com/Jiang-Yude/notebooklm-connector/tree/main
Command: npx skills add https://github.com/Jiang-Yude/notebooklm-connector --skill notebooklm-connector

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires notebooklm-mcp, chromedriver, puppeteer, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables seamless integration of Google NotebookLM with AI conversation agents, allowing direct querying of personal notebooks without manual exporting or API limitations.

Core Features & Use Cases

  • Direct NotebookLM Queries: Ask your Google NotebookLM questions within Claude or Codex conversations to retrieve specific notes, sources, or summaries.
  • Content Export: Download chats, notes, reports, and media from NotebookLM for local storage and further analysis.
  • Batch Source Management: Manage NotebookLM sources by listing, adding, or removing entries through CLI commands for organized content curation.

Quick Start

Use the credential setup instructions to connect your NotebookLM account, then simply ask your AI to list notebooks or query specific notes directly.

Frequently Asked Questions about notebooklm-connector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Google NotebookLM with an AI assistant for direct querying?▼

To integrate Google NotebookLM with an AI assistant, you use the notebooklm-connector to automate MCP server setup and credential integration, enabling direct question-answering and source management without manual exporting.

Can I export notes and chats from NotebookLM directly through my conversation agent?▼

Yes, you can export notes, chats, reports, and media from NotebookLM directly through your conversation agent, enabling local storage and further analysis of your personalized knowledge retrieval data.

What is the best way to manage Google NotebookLM sources in bulk?▼

The best way to manage NotebookLM sources in bulk is by using CLI commands to list, add, or remove entries, ensuring organized content curation and efficient source management within your AI assistant workflow.

Do I need chromedriver and puppeteer to run NotebookLM MCP workflows?▼

Yes, you need chromedriver and puppeteer dependencies to run local and cloud NotebookLM MCP workflows, as these browser automation tools handle the background server setup and web interaction processes.

Does this integration support both local and cloud workflows for content export?▼

Yes, the integration supports both local and cloud workflows for content export by automating MCP server setup, fulfilling needs for personalized knowledge retrieval and data organization across different environments.

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