notebooklm-mcp-cli

🔗 View on GitHub: jacob-bd/notebooklm-mcp-cli

🚀 Quick Installation

Programmatic access to Google NotebookLM via CLI or MCP server.

uv (Recommended)

uv tool install notebooklm-mcp-cli

pip / pipx

pip install notebooklm-mcp-cli
# or
pipx install notebooklm-mcp-cli

Claude Code

claude mcp add --scope user notebooklm-mcp notebooklm-mcp

What It Does

NotebookLM-MCP-CLI provides programmatic access to Google NotebookLM through two interfaces:

• 🖥️ CLI (nlm) — Command-line interface for scripting and automation
• 🤖 MCP Server — Model Context Protocol for AI assistants (Claude, Gemini, Cursor, etc.)

Key Features

Notebook Management

• List, create, and delete notebooks
• Add sources (URL, text, Google Drive, files)
• Query notebooks with AI-powered summaries
• Cross-notebook search

Studio Content Creation

• 🎙️ Audio podcasts (deep dive, overview formats)
• 🎬 Video explainers
• 📊 Briefing documents
• 🗂️ Flashcards
• 🧠 Mind maps
• 📈 Infographics
• 📑 Slide decks

Research & Automation

• Web research with automatic source import
• Google Drive integration with sync
• Batch operations
• Pipelines for multi-step workflows
• Tagging and smart selection

Example Commands

# Create a notebook and generate podcast
nlm notebook create "AI Research"
nlm source add "AI Research" --url "https://example.com/article"
nlm studio create "AI Research" --type audio --format deep-dive

# Or use natural language with AI:
# "Create a notebook about quantum computing and generate a podcast"

Authentication

Requires Google NotebookLM authentication via browser cookie extraction:

nlm login  # Auto mode - launches browser
nlm login --check  # Verify auth status

35+ MCP Tools

The MCP server exposes 35+ tools for AI assistants including:

• notebook_list, notebook_create, notebook_query
• source_add, source_sync_drive
• studio_create, studio_revise
• download_artifact, research_start
• batch, pipeline, tag

📚 CLI Guide | MCP Guide | PyPI