MCP Servers

A collection of Model Context Protocol servers, templates, tools and more.

Bridge Google NotebookLM with Claude via MCP. Full programmatic access to create notebooks, manage sources, and generate AI-powered content — podcasts, videos, slides, mind maps, quizzes, flashcards, and reports — all through natural language.

Created 1/26/2026
Updated 1 day ago
Repository documentation and setup instructions

NotebookLM MCP for Claude (Desktop & CLI)

A powerful MCP (Model Context Protocol) server that brings Google NotebookLM into Claude Desktop and Claude Code.

Features

  • Research: List and create notebooks
  • Content: Add URLs, text, and files as sources
  • Generation: Create Podcasts, Videos, Slides, Mind Maps, Infographics, Quizzes, Flashcards, and Reports
  • Natural Interaction: Chat directly with your sources using Claude's reasoning

Prerequisites

1. Install uv (Python Package Manager)

macOS / Linux
# Using curl
curl -LsSf https://astral.sh/uv/install.sh | sh

# Or with Homebrew (macOS)
brew install uv

Default install location: ~/.local/bin/uv

Windows
# Using PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# Or with Scoop
scoop install uv

# Or with winget
winget install --id=astral-sh.uv -e

Default install location: %USERPROFILE%\.local\bin\uv.exe

Verify installation:

uv --version

2. Clone and Install Dependencies

# Clone the repository
git clone https://github.com/alfredang/notebooklm-mcp.git

# Navigate to the project folder
cd notebooklm-mcp

# Install dependencies (includes notebooklm-py and fastmcp)
uv sync

This will:

  • Create a .venv virtual environment
  • Install notebooklm-py (Python client for NotebookLM API)
  • Install fastmcp (MCP server framework)

Note: These dependencies are required for both Claude Desktop and Claude Code.


Step 1: Authenticate with NotebookLM

NotebookLM uses browser-based authentication. You must login once to save your session cookies.

cd notebooklm-mcp
uv run notebooklm login

What happens:

  1. A browser window will open automatically
  2. Log in to your Google account
  3. Navigate to NotebookLM if not redirected automatically
  4. Wait until the terminal displays "Success"
  5. Close the browser

Verify authentication:

uv run python -c "
from notebooklm import NotebookLMClient
import asyncio
async def test():
    client = await NotebookLMClient.from_storage()
    async with client:
        notebooks = await client.notebooks.list()
        print(f'Authenticated! Found {len(notebooks)} notebooks.')
asyncio.run(test())
"

You should see: Authenticated! Found X notebooks.


Step 2: Test the MCP Server

Before configuring Claude, verify the server starts correctly:

cd notebooklm-mcp
uv run python server.py

Expected output:

Starting NotebookLM MCP server...
NotebookLM client initialized successfully
Starting MCP server 'NotebookLM' with transport 'stdio'

Press Ctrl+C (or Cmd+C on Mac) to stop the server after confirming it works.


Step 3: Setup for Claude Desktop

3.1 Find Your Paths

You'll need two paths for the configuration:

Find your uv path:

macOS / Linux
which uv

Example output: /Users/yourname/.local/bin/uv

Windows
where uv

Example output: C:\Users\yourname\.local\bin\uv.exe

Find your project path:

macOS / Linux
cd notebooklm-mcp && pwd

Example output: /Users/yourname/projects/notebooklm-mcp

Windows
cd notebooklm-mcp; (Get-Location).Path

Example output: C:\Users\yourname\projects\notebooklm-mcp

3.2 Open the Config File

From Claude Desktop (Recommended):

  1. Open Claude Desktop
  2. Go to Settings (gear icon) → DeveloperEdit Config
  3. This opens claude_desktop_config.json in your default editor

Or manually:

macOS path

~/Library/Application Support/Claude/claude_desktop_config.json

Windows path

%APPDATA%\Claude\claude_desktop_config.json

3.3 Add the MCP Server Configuration

Important: Replace <UV_PATH> and <PROJECT_PATH> with your actual paths from Step 3.1

macOS / Linux Configuration
{
  "mcpServers": {
    "notebooklm": {
      "command": "<UV_PATH>",
      "args": [
        "--directory",
        "<PROJECT_PATH>",
        "run",
        "python",
        "server.py"
      ]
    }
  }
}

Example with real paths:

{
  "mcpServers": {
    "notebooklm": {
      "command": "/Users/yourname/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/yourname/projects/notebooklm-mcp",
        "run",
        "python",
        "server.py"
      ]
    }
  }
}
Windows Configuration
{
  "mcpServers": {
    "notebooklm": {
      "command": "<UV_PATH>",
      "args": [
        "--directory",
        "<PROJECT_PATH>",
        "run",
        "python",
        "server.py"
      ]
    }
  }
}

Example with real paths:

{
  "mcpServers": {
    "notebooklm": {
      "command": "C:\\Users\\yourname\\.local\\bin\\uv.exe",
      "args": [
        "--directory",
        "C:\\Users\\yourname\\projects\\notebooklm-mcp",
        "run",
        "python",
        "server.py"
      ]
    }
  }
}

Note: On Windows, use double backslashes (\\) in JSON paths.

3.4 Restart Claude Desktop

| Platform | How to Restart | |----------|----------------| | macOS | Press Cmd+Q to fully quit, then reopen | | Windows | Right-click tray icon → Quit, then reopen |

Look for the hammer icon in the chat input area - this indicates MCP tools are available.

3.5 Verify Connection

In Claude Desktop, type:

List my NotebookLM notebooks

Claude should use the list_notebooks tool and display your notebooks.


Step 4: Setup for Claude Code (CLI)

Prerequisites: Complete Steps 1-2 first (install dependencies with uv sync and authenticate with uv run notebooklm login).

4.1 Add the MCP Server

Replace <PROJECT_PATH> with your actual project path:

macOS / Linux
claude mcp add notebooklm -- uv --directory <PROJECT_PATH> run python server.py

Example:

claude mcp add notebooklm -- uv --directory /Users/yourname/projects/notebooklm-mcp run python server.py
Windows
claude mcp add notebooklm -- uv --directory <PROJECT_PATH> run python server.py

Example:

claude mcp add notebooklm -- uv --directory C:\Users\yourname\projects\notebooklm-mcp run python server.py

4.2 Verify the Server is Added

claude mcp list

You should see notebooklm in the list.

4.3 Test in Claude Code

Start a new Claude Code session:

claude

Then ask:

List my NotebookLM notebooks

Usage Examples

Once configured, use natural language commands in Claude Desktop or Claude Code:

| Task | Example Command | |------|-----------------| | List notebooks | "Show me all my NotebookLM notebooks" | | Create notebook | "Create a new notebook called 'Research Project'" | | Add URL source | "Add this URL to my notebook: https://example.com/article" | | Generate podcast | "Generate a podcast for notebook ID xyz123" | | Create slides | "Make a slide deck from my 'Research Project' notebook" | | Generate mind map | "Create a mind map for notebook abc456" | | Create quiz | "Generate a quiz based on my notebook sources" | | Make flashcards | "Create study flashcards from this notebook" |


Available Tools

| Tool | Description | |------|-------------| | list_notebooks | List all notebooks in your account | | create_notebook | Create a new notebook | | add_source_url | Add a website URL as a source | | add_source_text | Add raw text as a source | | ask_notebook | Ask a question based on notebook sources | | get_notebook_summary | Get summary and key insights | | generate_audio_overview | Generate a podcast-style audio | | generate_video_overview | Generate a video overview | | generate_slide_deck | Generate PowerPoint-style slides | | generate_mind_map | Generate an interactive mind map | | generate_infographic | Generate a visual infographic | | generate_quiz | Generate quiz questions | | generate_flashcards | Generate study flashcards | | generate_summary_report | Generate a briefing document | | generate_data_table | Extract data into a table |


Troubleshooting

"Server disconnected" or "Failed to spawn process"

Cause: Claude Desktop can't find uv because it doesn't inherit your shell's PATH.

Solution: Use the full absolute path to uv in the config (see Step 3.1).


"Command not found: uv"

macOS / Linux

Add to your shell profile (~/.zshrc or ~/.bashrc):

export PATH="$HOME/.local/bin:$PATH"

Then reload:

source ~/.zshrc  # or source ~/.bashrc
Windows

Add to your PATH:

  1. Open System Properties → Environment Variables
  2. Under "User variables", edit Path
  3. Add: %USERPROFILE%\.local\bin
  4. Restart your terminal

MCP Server Not Appearing in Claude Desktop

Cause: Invalid JSON in config file or Claude not restarted properly.

Solution:

  1. Validate your JSON at https://jsonlint.com/
  2. Ensure no trailing commas in the JSON
  3. Fully quit and reopen Claude Desktop

"NotebookLM client not initialized"

Cause: Server started before authentication was complete.

Solution:

  1. Run uv run notebooklm login first
  2. Restart Claude Desktop or re-add the MCP server in Claude Code

Check Claude Desktop Logs

macOS
# View recent logs
tail -100 ~/Library/Logs/Claude/mcp*.log

# Or open in Finder
open ~/Library/Logs/Claude/
Windows
# View logs folder
explorer "$env:APPDATA\Claude\logs"

Remove and Re-add MCP Server (Claude Code)

If issues persist:

claude mcp remove notebooklm
claude mcp add notebooklm -- uv --directory <PROJECT_PATH> run python server.py

Updating

To update the NotebookLM library:

cd notebooklm-mcp
uv sync --upgrade

Project Structure

notebooklm-mcp/
├── server.py          # MCP server implementation
├── pyproject.toml     # Project dependencies
├── README.md          # This file
├── SKILL.md           # Claude Code skill definition
└── .venv/             # Virtual environment (auto-created)

License

MIT License

Quick Setup
Installation guide for this server

Install Package (if required)

uvx notebooklm-mcp

Cursor configuration (mcp.json)

{ "mcpServers": { "alfredang-notebooklm-mcp": { "command": "uvx", "args": [ "notebooklm-mcp" ] } } }