NotebookLM MCP
Integrates Google NotebookLM into Claude to allow users to manage notebooks, add sources, and generate diverse content like podcasts, slides, and reports. It enables natural language interaction with notebook sources across Claude Desktop and Claude Code.
README
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)
<details> <summary><strong>macOS / Linux</strong></summary>
# Using curl
curl -LsSf https://astral.sh/uv/install.sh | sh
# Or with Homebrew (macOS)
brew install uv
Default install location: ~/.local/bin/uv
</details>
<details> <summary><strong>Windows</strong></summary>
# 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
</details>
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
.venvvirtual 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:
- A browser window will open automatically
- Log in to your Google account
- Navigate to NotebookLM if not redirected automatically
- Wait until the terminal displays "Success"
- 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:
<details> <summary><strong>macOS / Linux</strong></summary>
which uv
Example output: /Users/yourname/.local/bin/uv
</details>
<details> <summary><strong>Windows</strong></summary>
where uv
Example output: C:\Users\yourname\.local\bin\uv.exe
</details>
Find your project path:
<details> <summary><strong>macOS / Linux</strong></summary>
cd notebooklm-mcp && pwd
Example output: /Users/yourname/projects/notebooklm-mcp
</details>
<details> <summary><strong>Windows</strong></summary>
cd notebooklm-mcp; (Get-Location).Path
Example output: C:\Users\yourname\projects\notebooklm-mcp
</details>
3.2 Open the Config File
From Claude Desktop (Recommended):
- Open Claude Desktop
- Go to Settings (gear icon) → Developer → Edit Config
- This opens
claude_desktop_config.jsonin your default editor
Or manually:
<details> <summary>macOS path</summary>
~/Library/Application Support/Claude/claude_desktop_config.json
</details>
<details> <summary>Windows path</summary>
%APPDATA%\Claude\claude_desktop_config.json
</details>
3.3 Add the MCP Server Configuration
Important: Replace
<UV_PATH>and<PROJECT_PATH>with your actual paths from Step 3.1
<details> <summary><strong>macOS / Linux Configuration</strong></summary>
{
"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"
]
}
}
}
</details>
<details> <summary><strong>Windows Configuration</strong></summary>
{
"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.
</details>
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 syncand authenticate withuv run notebooklm login).
4.1 Add the MCP Server
Replace <PROJECT_PATH> with your actual project path:
<details> <summary><strong>macOS / Linux</strong></summary>
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
</details>
<details> <summary><strong>Windows</strong></summary>
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
</details>
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"
<details> <summary><strong>macOS / Linux</strong></summary>
Add to your shell profile (~/.zshrc or ~/.bashrc):
export PATH="$HOME/.local/bin:$PATH"
Then reload:
source ~/.zshrc # or source ~/.bashrc
</details>
<details> <summary><strong>Windows</strong></summary>
Add to your PATH:
- Open System Properties → Environment Variables
- Under "User variables", edit
Path - Add:
%USERPROFILE%\.local\bin - Restart your terminal
</details>
MCP Server Not Appearing in Claude Desktop
Cause: Invalid JSON in config file or Claude not restarted properly.
Solution:
- Validate your JSON at https://jsonlint.com/
- Ensure no trailing commas in the JSON
- Fully quit and reopen Claude Desktop
"NotebookLM client not initialized"
Cause: Server started before authentication was complete.
Solution:
- Run
uv run notebooklm loginfirst - Restart Claude Desktop or re-add the MCP server in Claude Code
Check Claude Desktop Logs
<details> <summary><strong>macOS</strong></summary>
# View recent logs
tail -100 ~/Library/Logs/Claude/mcp*.log
# Or open in Finder
open ~/Library/Logs/Claude/
</details>
<details> <summary><strong>Windows</strong></summary>
# View logs folder
explorer "$env:APPDATA\Claude\logs"
</details>
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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.