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NotebookLM MCP Server

Enables AI agents to programmatically access Google NotebookLM through browser automation for managing notebooks, sources, and chat interactions. It supports automated content generation including audio overviews, study guides, and quizzes directly within AI workflows.

glama
Updated
Mar 17, 2026

NotebookLM MCP Server

A remote Model Context Protocol (MCP) server that gives AI agents (Claude, Cursor, Copilot, etc.) full programmatic access to Google NotebookLM via browser automation.

Hosted on Vercel · Browser powered by Browserless.io


🗺️ Architecture

AI Agent (Claude / Cursor)
        │  MCP (Streamable HTTP)
        ▼
  ┌─────────────────────┐
  │  Vercel Function    │  ← Next.js App Router
  │  (TypeScript / MCP) │     mcp-handler adapter
  └─────────┬───────────┘
            │  WebSocket (CDP)
            ▼
  ┌─────────────────────┐
  │  Browserless.io     │  ← Remote headless Chromium
  │  (free tier)        │     stealth mode enabled
  └─────────┬───────────┘
            │  Playwright
            ▼
  ┌─────────────────────┐
  │  Google NotebookLM  │  ← Authenticated via stored cookies
  └─────────────────────┘

⚡ Quick Start

Prerequisites

  • Node.js 18+
  • A free Browserless.io account → get your API token
  • A Google account with access to NotebookLM
  • A Vercel account

Step 1 — Clone & install

git clone <your-repo-url>
cd notebooklm-mcp
npm install

Step 2 — Extract Google cookies (one-time)

This step opens a browser window for you to sign in. Runs locally only.

# Install playwright for local cookie extraction
npm install playwright --save-dev
npx playwright install chromium

# Run the extractor
npm run get-cookies
  1. A Chrome browser will open → sign in to your Google account
  2. Navigate to NotebookLM and verify you can see your notebooks
  3. Switch back to the terminal and press Enter
  4. The script prints a NOTEBOOKLM_STORAGE_STATE=... value — copy it

Step 3 — Configure environment variables

Copy .env.example to .env.local and fill in your values:

cp .env.example .env.local
# From https://browserless.io → your dashboard
BROWSERLESS_TOKEN=your_token_here

# From the get-cookies script output
NOTEBOOKLM_STORAGE_STATE=eyJjb29...

# Optional: closest region (sfo | lon | sea | fra)
BROWSERLESS_REGION=sfo

Step 4 — Test locally

npm run dev
# MCP endpoint: http://localhost:3000/api/mcp

Step 5 — Deploy to Vercel

# Install Vercel CLI
npm i -g vercel

# Deploy (follow the prompts)
vercel

# Add your environment variables (or use the Vercel dashboard)
vercel env add BROWSERLESS_TOKEN
vercel env add NOTEBOOKLM_STORAGE_STATE
vercel env add BROWSERLESS_REGION

# Deploy to production
vercel --prod

Your MCP server will be live at:

https://your-project.vercel.app/api/mcp

Step 6 — Connect your AI agent

Claude Desktop (~/Library/Application\ Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "notebooklm": {
      "url": "https://your-project.vercel.app/api/mcp"
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "notebooklm": {
      "url": "https://your-project.vercel.app/api/mcp"
    }
  }
}

🛠️ Available MCP Tools

Notebooks

ToolDescription
notebooklm_list_notebooksList all notebooks in your account
notebooklm_create_notebookCreate a new notebook
notebooklm_get_notebookGet details of a notebook by ID
notebooklm_delete_notebookDelete a notebook permanently

Sources

ToolDescription
notebooklm_list_sourcesList all sources in a notebook
notebooklm_add_source_urlAdd a website URL as a source
notebooklm_add_source_youtubeAdd a YouTube video as a source
notebooklm_add_source_textAdd plain text as a source
notebooklm_remove_sourceRemove a source from a notebook

Chat / Query

ToolDescription
notebooklm_askAsk a question (single turn)
notebooklm_conversationMulti-turn conversation (up to 10 questions)

Content Generation

ToolDescription
notebooklm_generate_audioGenerate an Audio Overview (podcast)
notebooklm_generate_quizGenerate a quiz
notebooklm_generate_flashcardsGenerate flashcards
notebooklm_generate_mindmapGenerate a mind map
notebooklm_generate_slideshowGenerate a slide deck
notebooklm_generate_study_guideGenerate a study guide
notebooklm_generate_briefingGenerate a briefing document

Utility

ToolDescription
notebooklm_health_checkVerify Browserless.io connection and session validity

🔑 Session Management

Google sessions typically last 30–90 days. When your session expires:

  1. Run npm run get-cookies again on your local machine
  2. Copy the new NOTEBOOKLM_STORAGE_STATE value
  3. Update it in Vercel: vercel env rm NOTEBOOKLM_STORAGE_STATE && vercel env add NOTEBOOKLM_STORAGE_STATE
  4. Re-deploy: vercel --prod

The notebooklm_health_check tool will tell you if the session is still valid.


💰 Browserless.io Free Tier

The free tier gives you ~1,000 units/month.

OperationApprox. cost
List notebooks~1 unit
Add a URL source~2–3 units
Ask a question~2 units
Generate audio~2 units

For typical personal use (~50–100 tool calls/month), the free tier is more than sufficient.


⚠️ Limitations

  • Vercel Hobby timeout: Functions are limited to 60 seconds. Long-running operations (audio generation) are started asynchronously and must be checked in the NotebookLM UI.
  • Session expiry: Google cookies expire. Re-run get-cookies when authentication fails.
  • UI changes: NotebookLM is a product under active development. If selectors break, open an issue.
  • Unofficial: This uses browser automation, not an official API. Google could change NotebookLM's interface at any time.

🔧 Troubleshooting

"Session has expired" error → Re-run npm run get-cookies and update NOTEBOOKLM_STORAGE_STATE in Vercel.

"BROWSERLESS_TOKEN is not set" error → Add the token in Vercel dashboard → Settings → Environment Variables.

Tool returns "Could not find button" error → NotebookLM's UI may have been updated. Check the notebooklm-py repo for updated selectors.

Timeout errors → Browserless.io free tier may be under load. Wait a few minutes and retry.

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