Secure MCP server for querying Google NotebookLM notebooks. Designed for use with Claude Code, Cursor, VS Code Copilot, and any MCP-compatible AI assistant.
Watch on YouTube: https://youtu.be/xdI3uEA5rew?si=FkD0sdCZSFFWpjhy
notebooklm-mcp-2026 gives AI assistants direct access to your Google NotebookLM notebooks. It runs as a local subprocess (stdio transport) — no HTTP server needed. Your AI assistant can list your notebooks, read source content, and ask the NotebookLM AI questions about your sources.
Three commands. Works on macOS, Linux, and Windows.
macOS / Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
uv tool install notebooklm-mcp-2026Windows (PowerShell):
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
uv tool install notebooklm-mcp-2026Already have pipx? You can use
pipx install notebooklm-mcp-2026instead.
Important: Close Google Chrome completely before running setup. The login process needs to launch Chrome with special flags, which won't work if Chrome is already running.
notebooklm-mcp-2026 setupThis will:
- Open Chrome so you can log in to your Google account
- Detect which MCP clients you have installed (Claude Code, Cursor, VS Code, etc.)
- Automatically configure them
Restart your MCP client and ask your AI assistant:
"List my NotebookLM notebooks"
That's it!
- Google Chrome (or Chromium) — needed for one-time login
- Python 3.11+ — installed automatically if you use
uv
Download it from google.com/chrome. On Linux, chromium also works.
If you used uv to install (recommended), you don't need to install Python separately — uv handles it for you.
If you prefer to install Python manually:
| Platform | Command |
|---|---|
| macOS | brew install python |
| Ubuntu / Debian | sudo apt install python3 |
| Arch / Manjaro | sudo pacman -S python |
| Fedora | sudo dnf install python3 |
| Windows | Download from python.org — tick "Add to PATH" during install |
The Quick Start uses uv because it's the simplest (single binary, no Python version conflicts). Other options:
# pipx (if you already have it)
pipx install notebooklm-mcp-2026
# pip (inside a virtual environment)
python -m venv .venv && source .venv/bin/activate
pip install notebooklm-mcp-2026
# From source
git clone https://github.com/julianoczkowski/notebooklm-mcp-2026.git
cd notebooklm-mcp-2026
pip install -e .notebooklm-mcp-2026 uses Google session cookies extracted via Chrome DevTools Protocol. No passwords are stored — only session cookies.
Important: Close Google Chrome completely before running login. The login process needs to launch Chrome with special debugging flags, which won't work if Chrome is already running.
notebooklm-mcp-2026 loginThis opens Chrome, you log in to Google, and the tool saves the session cookies locally. Cookies last 2–4 weeks. When they expire, run login again.
If Chrome can't be found automatically, the tool will show you the exact command to launch Chrome manually, or you can specify the path:
notebooklm-mcp-2026 login --chrome-path "/path/to/chrome"| Platform | Location |
|---|---|
| Linux | ~/.local/share/notebooklm-mcp-2026/auth.json |
| macOS | ~/Library/Application Support/notebooklm-mcp-2026/auth.json |
| Windows | %LOCALAPPDATA%\notebooklm-mcp-2026\auth.json |
Override with: NOTEBOOKLM_MCP_DATA_DIR=/custom/path
| Command | Description |
|---|---|
notebooklm-mcp-2026 setup |
Interactive setup wizard — authenticates and configures your MCP client |
notebooklm-mcp-2026 login |
Authenticate via Chrome (opens browser window) |
notebooklm-mcp-2026 logout |
Remove stored credentials and start fresh |
notebooklm-mcp-2026 serve |
Start the MCP server over stdio (used by MCP clients) |
notebooklm-mcp-2026 status |
Show authentication and MCP client configuration status |
notebooklm-mcp-2026 doctor |
Diagnose common issues (Chrome, auth, permissions) |
notebooklm-mcp-2026 version |
Print version |
The setup command auto-configures your MCP client. You should not need to edit these files manually, but if you do:
Claude Code — ~/.claude.json
{
"mcpServers": {
"notebooklm-mcp-2026": {
"command": "notebooklm-mcp-2026",
"args": ["serve"]
}
}
}Cursor — ~/.cursor/mcp.json
{
"mcpServers": {
"notebooklm-mcp-2026": {
"command": "notebooklm-mcp-2026",
"args": ["serve"]
}
}
}VS Code (Copilot) — mcp.json
{
"servers": {
"notebooklm-mcp-2026": {
"command": "notebooklm-mcp-2026",
"args": ["serve"]
}
}
}Claude Desktop
Claude Desktop does not inherit your terminal's PATH, so you must use the full path to the executable.
First, find your executable path:
# macOS / Linux
which notebooklm-mcp-2026
# Windows (PowerShell)
where notebooklm-mcp-2026Then edit your config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
macOS example:
{
"mcpServers": {
"notebooklm-mcp-2026": {
"command": "/Users/YOUR_USER/.local/bin/notebooklm-mcp-2026",
"args": ["serve"]
}
}
}Windows example:
{
"mcpServers": {
"notebooklm-mcp-2026": {
"command": "C:\\Users\\YOUR_USER\\.local\\bin\\notebooklm-mcp-2026.exe",
"args": ["serve"]
}
}
}Replace YOUR_USER with your actual username, or paste the exact path from the which/where command above.
| Tool | Description | Key Parameters |
|---|---|---|
login |
Launch Chrome for Google OAuth login | timeout (default: 300s) |
check_auth |
Verify stored credentials are valid | — |
list_notebooks |
List all notebooks with metadata | max_results (default: 50) |
get_notebook |
Get notebook details + source list | notebook_id |
list_sources |
List sources in a notebook | notebook_id |
get_source_content |
Get full text of a source | source_id |
query_notebook |
Ask the AI a question | notebook_id, query, source_ids?, conversation_id? |
add_source_url |
Add a URL/YouTube source | notebook_id, url |
add_source_text |
Add pasted text source | notebook_id, text, title? |
1. list_notebooks → find the notebook ID you want
2. list_sources → see what sources are in it
3. query_notebook → ask questions about the sources
4. get_source_content → read raw source text if needed
When your AI assistant calls list_notebooks, it gets back structured data like this:
{
"status": "success",
"count": 2,
"notebooks": [
{
"id": "abc123-def456",
"title": "Research Notes",
"source_count": 3,
"is_owned": true,
"modified_at": "2026-01-15T10:30:00+00:00"
},
{
"id": "ghi789-jkl012",
"title": "Project Planning",
"source_count": 5,
"is_owned": true,
"modified_at": "2026-01-14T08:00:00+00:00"
}
]
}And query_notebook returns:
{
"status": "success",
"answer": "Based on the sources, the main topics covered are...",
"conversation_id": "conv-uuid-123",
"turn_number": 1,
"is_follow_up": false
}query_notebook returns a conversation_id. Pass it back to ask follow-up questions in the same conversation context:
# First question
result = query_notebook(notebook_id="abc", query="What is the main topic?")
# result.conversation_id = "uuid-123"
# Follow-up
result = query_notebook(notebook_id="abc", query="Tell me more about that", conversation_id="uuid-123")
Run notebooklm-mcp-2026 login in your terminal.
Session cookies have a limited lifespan (2–4 weeks). Run notebooklm-mcp-2026 login again.
Install Google Chrome or Chromium. On Linux, ensure google-chrome or chromium is in your PATH. You can also specify the path directly:
notebooklm-mcp-2026 login --chrome-path "/path/to/chrome"Make sure you're logged into the correct Google account that has NotebookLM notebooks.
Google occasionally rotates their build label. Set the updated label:
NOTEBOOKLM_BL="boq_labs-tailwind-frontend_YYYYMMDD.XX_p0" notebooklm-mcp-2026 serveNotebookLM free tier allows ~50 queries per day. Wait until the next day or upgrade.
Run the diagnostic tool:
notebooklm-mcp-2026 doctor| Variable | Default | Description |
|---|---|---|
NOTEBOOKLM_MCP_DATA_DIR |
Platform default | Override data storage location |
NOTEBOOKLM_BL |
boq_labs-tailwind-frontend_20260108.06_p0 |
Google build label |
NOTEBOOKLM_QUERY_TIMEOUT |
120.0 |
Query timeout in seconds |
- No passwords stored — only Google session cookies
- File permissions — credentials saved with
0o600(owner read/write only) - Directory permissions — data directory created with
0o700(owner only) - No
eval/exec— no dynamic code execution anywhere - No
shell=True— Chrome launched with explicit argument lists - Cookie filtering — only essential Google auth cookies are persisted
- Chrome cleanup — Chrome process always terminated in
finallyblocks - Input validation — all tool parameters validated before use
- Timeouts — all HTTP requests have explicit timeouts
- CSRF protection — tokens passed in request body, auto-refreshed on expiry
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# Lint
ruff check src/ tests/The MCP Inspector lets you interactively test the server's tools in a web UI:
npx @modelcontextprotocol/inspector notebooklm-mcp-2026 serveThis opens a browser where you can call each of the 9 tools with custom parameters and inspect responses. You must run notebooklm-mcp-2026 login first.
- Questions? Start a Discussion
- Found a bug? Open an Issue
- Want to contribute? See CONTRIBUTING.md
- Security issue? See SECURITY.md for responsible disclosure
MIT

