elihat2022/openclaw-notebooklm

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Repository Install

One-command installer for integrating Google NotebookLM with OpenClaw via MCP.

Обзор

for integrating Google NotebookLM with OpenClaw via MCP. This package automatically sets up a NotebookLM skill in OpenClaw, allowing your AI agents to: - 📚 List all your NotebookLM notebooks - 📝 Create new notebooks with sources - 🔍 Query notebooks with natural language - 📊 Generate study guides - 🔗 Add sources (URLs, text, files) to notebooks 1. ✅ Check prerequisites (OpenClaw, Node.js) 2. 📦 Install dependencies (mcporter, notebooklm-mcp) 3. 🔐 Authenticate with NotebookLM (opens Chrome) 4. 📂 Create the skill in ~/.openclaw/skills/notebooklm/ 5. ⚙️ Configure OpenClaw to use the skill 6. 🔄 Restart the OpenClaw daemon - : Must be installed and configured - : Required for npm packages (mcporter, notebooklm-mcp) - : For NotebookLM authentication 1. loads the notebooklm skill 2. The skill uses a to route commands 3. manages the MCP server lifecycle 4. communicates with NotebookLM 5.

README

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OpenClaw NotebookLM Integration

One-command installer for integrating Google NotebookLM with OpenClaw via MCP.

What This Does

This package automatically sets up a NotebookLM skill in OpenClaw, allowing your AI agents to:

📚 List all your NotebookLM notebooks
📝 Create new notebooks with sources
🔍 Query notebooks with natural language
📊 Generate study guides
🔗 Add sources (URLs, text, files) to notebooks

Quick Start

Installation

pip install openclaw-notebooklm

Setup

Run the installer:

openclaw-notebooklm-install

The installer will:

✅ Check prerequisites (OpenClaw, Node.js)
📦 Install dependencies (mcporter, notebooklm-mcp)
🔐 Authenticate with NotebookLM (opens Chrome)
📂 Create the skill in ~/.openclaw/skills/notebooklm/
⚙️ Configure OpenClaw to use the skill
🔄 Restart the OpenClaw daemon

That’s it! 🎉

Usage

From OpenClaw Agents

Start a new OpenClaw session and ask:

List my NotebookLM notebooks

Create a NotebookLM notebook called "AI Research" with this URL: https://example.com

Ask my "Project Notes" notebook: What are the key takeaways?

Generate a study guide for my "Machine Learning" notebook

From Command Line

# List notebooks
~/.openclaw/skills/notebooklm/notebooklm.sh list

# Create a notebook
~/.openclaw/skills/notebooklm/notebooklm.sh create "My Notebook" source_url=https://example.com

# Query a notebook
~/.openclaw/skills/notebooklm/notebooklm.sh ask  "Summarize this"

# Generate study guide
~/.openclaw/skills/notebooklm/notebooklm.sh study_guide

Requirements

OpenClaw: Must be installed and configured
Node.js: Required for npm packages (mcporter, notebooklm-mcp)
Google Account: For NotebookLM authentication

How It Works

graph LR
    A[OpenClaw Agent] --> B[notebooklm skill]
    B --> C[notebooklm.sh wrapper]
    C --> D[mcporter]
    D --> E[notebooklm-mcp server]
    E --> F[NotebookLM API]