NotebookLM MCP Server (Security Hardened)

# # 🏆 The World's Most Advanced NotebookLM MCP Server

Zero-hallucination answers • Gemini Deep Research • 14 Security Layers • Enterprise Compliance

[](# cross-platform-support)

[](./SECURITY.md# post-quantum-encryption)
[](# -gemini-deep-research-v180)
[](# -document-api-v190)
[](# programmatic-notebook-creation-v170)

[What's New 2026](# -whats-new-in-2026) • [Deep Research](# -gemini-deep-research) • [Document API](# -document-api) • [Create Notebooks](# programmatic-notebook-creation) • [Security](# security-features) • [Install](# installation)

The only NotebookLM MCP with enterprise-grade security, post-quantum encryption, and full Gemini API integration.

Security-hardened fork of PleasePrompto/notebooklm-mcp • Maintained by Pantheon Security

# # ⚡ TL;DR — What You Get

• 🔍 Query your NotebookLM notebooks — source-grounded, zero-hallucination answers
• 📚 Create & manage notebooks programmatically — no manual clicking
• 🎙️ Generate audio overviews — podcast-style summaries of your docs
• 🎬 Generate video overviews — AI video summaries with 10 visual styles NEW
• 📊 Extract data tables — structured JSON from notebook sources NEW
• 🔬 Gemini 3 + Deep Research — latest models with thinking control (optional API) NEW
• 📄 Document API — upload & query PDFs without browser (optional API)
• 🔐 14 security layers — post-quantum encryption, audit logs, secrets scanning
• ✅ Enterprise compliance — GDPR, SOC2, CSSF ready
• 💡 No API key required — core features work with just browser auth

---

# 🚀 What's New in 2026

Latest: v2026.2.1 — Standard profile now exposes all key features (33 tools by default)

| Version | Highlights |
|- -- -- -- --|- -- -- -- -- -- -|
| v2026.2.1 | Standard profile expanded: 14 → 33 tools — notebook creation, audio, source management now visible by default |
| v2026.2.0 | Gemini 3 models (2.5 retiring March 31), Video Overviews, Data Tables, thinking level, structured JSON, SDK 1.41 |
| v2026.1.12 | Security hardening: constant-time auth, command injection fix, memory leak fixes, MCP SDK 1.26.0 |
| v2026.1.11 | Notebook sync extraction for new Angular UI, NOTEBOOKLM_NO_GEMINI env var |
| v2026.1.10 | Tool description clarity for multi-LLM compatibility |
| v2026.1.9 | Documentation & UX improvements, npm audit fix |
| v2026.1.8 | Major dependency updates (zod 4.x, dotenv 17.x, post-quantum 0.5.4) |
| v2026.1.7 | MCP Protocol UX: tool icons, human-friendly titles, behavior annotations |
| v2026.1.4 | Defense-in-depth path validation, security hardening |
| v2026.1.1 | Deep health checks, chat history extraction, context management |

#  Quick install
claude mcp add notebooklm - - npx @pan-sec/notebooklm-mcp@latest

# # Why Choose This MCP?

| Capability | Other MCPs | This MCP |
|- -- -- -- -- -- -|- -- -- -- -- -- -|- -- -- -- -- -|
| Query NotebookLM | ✅ Basic | ✅ + session management, quotas |
| Create notebooks programmatically | ❌ | ✅ UNIQUE |
| Gemini Deep Research | ❌ | ✅ EXCLUSIVE |
| Document API (no browser) | ❌ | ✅ EXCLUSIVE |
| Post-quantum encryption | ❌ | ✅ Future-proof |
| Enterprise compliance | ❌ | ✅ GDPR/SOC2/CSSF |
| Video Overview generation | ❌ | ✅ NEW |
| Data Table extraction | ❌ | ✅ NEW |
| Chat history extraction | ❌ | ✅ |
| Deep health verification | ❌ | ✅ |

# # # Core NotebookLM (No API Key Required)

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| ask_question | Query notebooks with source-grounded answers |
| add_notebook | Add a notebook to your library |
| list_notebooks | List all notebooks in library |
| select_notebook | Set active notebook |
| update_notebook | Update notebook metadata |
| remove_notebook | Remove from library |
| create_notebook | Programmatically create new notebooks |
| batch_create_notebooks | Create multiple notebooks at once |
| sync_library | Sync library with NotebookLM |
| list_sources | List sources in a notebook |
| add_source | Add source to notebook |
| remove_source | Remove source from notebook |
| generate_audio_overview | Create podcast-style audio |
| get_audio_status | Check audio generation status |
| download_audio | Download generated audio |
| generate_video_overview | Create AI video overview (10 styles) |
| get_video_status | Check video generation status |
| generate_data_table | Generate structured data table |
| get_data_table | Extract data table as JSON |
| list_sessions | List active sessions |
| close_session | Close a session |
| reset_session | Reset session history |
| get_health | Check server & auth status |
| setup_auth | Initial authentication |
| re_auth | Re-authenticate |
| cleanup_data | Clean up local data |
| get_quota | Check usage quotas |
| set_quota_tier | Set quota tier |
| get_query_history | View past queries |
| get_notebook_chat_history | Extract browser chat history |
| get_project_info | Get project context |
| export_library | Export library backup |

# # # Gemini API (Optional - Requires GEMINI_API_KEY)

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| deep_research | Comprehensive research agent |
| gemini_query | Fast grounded queries |
| get_research_status | Check research progress |
| upload_document | Upload docs to Gemini |
| query_document | Query uploaded documents |
| query_chunked_document | Query large documents |
| list_documents | List uploaded documents |
| delete_document | Delete uploaded document |

# # # Webhooks & Integrations

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| configure_webhook | Set up webhook notifications |
| list_webhooks | List configured webhooks |
| test_webhook | Test webhook delivery |
| remove_webhook | Remove a webhook |

# # # Enterprise Compliance (16 additional tools)

See Compliance Documentation for full list.

---

# Gemini Deep Research (v1.8.0)

The most powerful research capability for AI agents — now in your MCP toolkit.

v1.8.0 introduces the Gemini Interactions API as a stable, API-based research backend alongside browser automation. This gives your agents access to Google's state-of-the-art Deep Research agent.

# # Why This Matters

| Challenge | Solution |
|- -- -- -- -- --|- -- -- -- -- -|
| Browser UI changes break automation | Gemini API is stable and versioned |
| Need comprehensive research but no research agent | Deep Research agent does it for you |
| Want current information with citations | Google Search grounding built-in |
| Need reliable, fast queries | API-based = no UI dependencies |

# # New Tools

# # # deep_research — Comprehensive Research Agent

"Research the security implications of post-quantum cryptography adoption in financial services"

• Runs Google's Deep Research agent (same as Gemini Advanced)
• Takes 1-5 minutes for comprehensive, web-grounded analysis
• Returns structured answers with citations and sources
• Perfect for complex topics requiring multi-source synthesis

# # # gemini_query — Fast Grounded Queries

"What are the latest CVEs for Log4j in 2025?" (with Google Search)
"Calculate the compound interest on $10,000 at 5% over 10 years" (with code execution)
"Summarize this security advisory: [URL]" (with URL context)

• Google Search grounding — Current information, not just training data
• Code execution — Run calculations, data analysis
• URL context — Analyze web pages on demand
• Models: gemini-3-flash-preview (default), gemini-3-pro-preview (powerful), gemini-2.5-flash (legacy)

# # # get_research_status — Background Task Monitoring

Run deep research in the background and check progress:

"Start researching [topic] in the background"
... continue other work ...
"Check research status for interaction_abc123"

# # Hybrid Architecture

┌──────────────────────────────────────────────────────────────────────────────┐
│                      NotebookLM MCP Server v2026.2.x                         │
├──────────────────────────────────────────────────────────────────────────────┤
│                                                                              │
│  ┌────────────────────────────────┐    ┌──────────────────────────────────┐  │
│  │      BROWSER AUTOMATION        │    │          GEMINI API              │  │
│  │    ✅ NO API KEY NEEDED        │    │    ⚡ OPTIONAL - needs API key   │  │
│  ├────────────────────────────────┤    ├──────────────────────────────────┤  │
│  │                                │    │                                  │  │
│  │  QUERY                         │    │  RESEARCH                        │  │
│  │  • ask_question                │    │  • deep_research                 │  │
│  │  • get_notebook_chat_history   │    │  • gemini_query                  │  │
│  │                                │    │  • get_research_status           │  │
│  │  CREATE & MANAGE               │    │                                  │  │
│  │  • create_notebook             │    │  DOCUMENTS                       │  │
│  │  • batch_create_notebooks      │    │  • upload_document               │  │
│  │  • manage_sources              │    │  • query_document                │  │
│  │  • generate_audio              │    │  • query_chunked_document        │  │
│  │  • generate_video_overview     │    │  • list/delete_document          │  │
│  │  • generate_data_table         │    │                                  │  │
│  │  • sync_notebook               │    │                                  │  │
│  │                                │    │                                  │  │
│  │  HEALTH & SESSIONS     v2026   │    │                                  │  │
│  │  • get_health (deep_check)     │    │  Fast API • 48h retention        │  │
│  │  • get_query_history           │    │  Auto-chunking for large PDFs    │  │
│  └────────────────────────────────┘    └──────────────────────────────────┘  │
│                                                                              │
│                      ┌─────────────────────────────────┐                     │
│                      │       14 SECURITY LAYERS        │                     │
│                      │   Post-Quantum • Audit Logs     │                     │
│                      │   Cert Pinning • Memory Wipe    │                     │
│                      │   GDPR • SOC2 • CSSF Ready      │                     │
│                      └─────────────────────────────────┘                     │
└──────────────────────────────────────────────────────────────────────────────┘

💡 Gemini API is completely optional! All core NotebookLM features (ask_question, notebooks, sessions, audio) work via browser automation with no API key required. The Gemini tools below are bonus features for users who want direct API access.

# # Gemini Configuration (Optional)

#  Only required if you want Gemini API features (deep_research, gemini_query, upload_document)
GEMINI_API_KEY=your-api-key          #  Get from https://aistudio.google.com/apikey

#  Optional settings
GEMINI_DEFAULT_MODEL=gemini-3-flash-preview  #  Default model (was gemini-2.5-flash)
GEMINI_DEEP_RESEARCH_ENABLED=true            #  Enable Deep Research
GEMINI_TIMEOUT_MS=30000                      #  API timeout

# # When to Use Which

| Task | Best Tool | Why |
|- -- -- -|- -- -- -- -- --|- -- --|
| Questions about YOUR documents | ask_question | Grounded on your uploaded sources |
| Comprehensive topic research | deep_research | Multi-source synthesis with citations |
| Current events / recent info | gemini_query + google_search | Live web data |
| Code calculations | gemini_query + code_execution | Reliable computation |
| Analyze a webpage | gemini_query + url_context | Direct page analysis |
| Quick PDF/document analysis | upload_document + query_document | Fast API, no browser (NEW!) |

---

# 📄 Document API (v1.9.0)

Upload and query documents directly via Gemini API — no browser automation needed.

v1.9.0 introduces the Gemini Files API for fast, reliable document analysis. Upload PDFs, analyze them instantly, and delete when done.

# # Why This Matters

| Feature | Browser Mode | Document API |
|- -- -- -- --|- -- -- -- -- -- -- -|- -- -- -- -- -- -- -|
| Speed | Seconds | Milliseconds |
| Reliability | UI-dependent | API-stable |
| File Support | Via NotebookLM | 50MB PDFs, 1000 pages |
| Retention | Permanent | 48 hours |
| Setup | Auth + cookies | Just API key |

# # New Tools

# # # upload_document — Fast Document Upload

Upload any document to Gemini for instant querying:

Upload /path/to/research-paper.pdf

• Supported: PDF (50MB, 1000 pages), TXT, MD, HTML, CSV, JSON, DOCX, images, audio, video
• 48-hour retention — files auto-expire, or delete manually
• Returns a file ID for querying

# # # query_document — Ask Questions About Documents

"What are the main findings in this research paper?"
"Summarize section 3 of the document"
"Extract all statistics mentioned in the PDF"

• Full document understanding (text, tables, charts, diagrams)
• Multi-document queries (compare multiple files)
• Fast API response (no browser wait)

# # # list_documents — See All Uploaded Files

List all my uploaded documents

Shows file names, sizes, MIME types, and expiration times.

# # # delete_document — Clean Up Sensitive Files

Delete file xyz123

Immediately remove files (don't wait for 48h expiration).

# # Workflow Example

1. upload_document("/research/paper.pdf")
   → Returns: files/abc123

2. query_document("files/abc123", "What methodology was used?")
   → Returns: "The paper uses a mixed-methods approach combining..."

3. query_document("files/abc123", "List all cited authors")
   → Returns: "Smith et al. (2024), Johnson (2023)..."

4. delete_document("files/abc123")
   → File removed

# # Auto-Chunking for Large PDFs (v1.10.0)

No file size limits — PDFs of any size are automatically handled.

When you upload a PDF that exceeds Gemini's limits (50MB or 1000 pages), the system automatically:

1. Detects the oversized PDF
2. Splits it into optimal chunks (500 pages each)
3. Uploads all chunks in parallel
4. Returns chunk metadata for querying

upload_document("/research/massive-2000-page-report.pdf")

→ Returns:
{
  "wasChunked": true,
  "totalPages": 2000,
  "chunks": [
    { "fileName": "files/abc1", "pageStart": 1, "pageEnd": 500 },
    { "fileName": "files/abc2", "pageStart": 501, "pageEnd": 1000 },
    { "fileName": "files/abc3", "pageStart": 1001, "pageEnd": 1500 },
    { "fileName": "files/abc4", "pageStart": 1501, "pageEnd": 2000 }
  ],
  "allFileNames": ["files/abc1", "files/abc2", "files/abc3", "files/abc4"]
}

# # # query_chunked_document — Query All Chunks at Once

For chunked documents, use this tool to query all parts and get an aggregated answer:

query_chunked_document(
  file_names: ["files/abc1", "files/abc2", "files/abc3", "files/abc4"],
  query: "What are the key recommendations in this report?"
)

→ Queries each chunk, then synthesizes a unified answer

# # When to Use Document API vs NotebookLM

| Scenario | Use |
|- -- -- -- -- -|- -- --|
| Quick one-off document analysis | Document API — fast, no setup |
| Building a permanent knowledge base | NotebookLM — permanent storage |
| Analyzing sensitive documents | Document API — 48h auto-delete |
| Multi-source research over time | NotebookLM — organized notebooks |
| CI/CD pipeline document processing | Document API — API-native |
| Large PDFs (1000+ pages) | Document API — auto-chunking |

---

# Programmatic Notebook Creation (v1.7.0+)

Create NotebookLM notebooks entirely from code — no manual clicks required.

Most MCP servers can only read from NotebookLM. This one can create notebooks, add sources, and generate audio — all programmatically.

# # create_notebook — Build Notebooks Instantly

Create a complete notebook with multiple sources in one command:

{
  "name": "Security Research 2025",
  "sources": [
    { "type": "url", "value": "https://owasp.org/Top10" },
    { "type": "file", "value": "/path/to/security-report.pdf" },
    { "type": "text", "value": "Custom analysis notes...", "title": "My Notes" }
  ],
  "description": "OWASP security best practices",
  "topics": ["security", "owasp", "vulnerabilities"]
}

Supported source types:

• URL — Web pages, documentation, articles
• File — PDF, DOCX, TXT, and more
• Text — Raw text, code snippets, notes

# # batch_create_notebooks — Scale Up

Create up to 10 notebooks in a single operation:

{
  "notebooks": [
    { "name": "React Docs", "sources": [{ "type": "url", "value": "https://react.dev/reference" }] },
    { "name": "Node.js API", "sources": [{ "type": "url", "value": "https://nodejs.org/api/" }] },
    { "name": "TypeScript Handbook", "sources": [{ "type": "url", "value": "https://www.typescriptlang.org/docs/" }] }
  ]
}

Perfect for:

• Setting up project documentation libraries
• Onboarding new team members with curated knowledge bases
• Creating topic-specific research notebooks in bulk

# # manage_sources — Dynamic Source Management

Add or remove sources from existing notebooks:

{
  "notebook_id": "abc123",
  "action": "add",
  "sources": [{ "type": "url", "value": "https://new-documentation.com" }]
}

# # generate_audio — Audio Overview Creation

Generate NotebookLM's famous "Audio Overview" podcasts programmatically:

"Generate an audio overview for my Security Research notebook"

# # sync_notebook — Keep Sources Updated

Sync notebook sources from a local directory:

{
  "notebook_id": "abc123",
  "directory": "/path/to/docs",
  "patterns": ["*.md", "*.pdf"]
}

# # Why This Matters

| Traditional Workflow | With This MCP |
|- -- -- -- -- -- -- -- -- -- --|- -- -- -- -- -- -- --|
| Manually create notebook in browser | create_notebook → done |
| Click "Add source" for each document | Batch add in single command |
| Navigate UI to generate audio | generate_audio → podcast ready |
| Update sources by hand | sync_notebook from local files |

Your agent can now build entire knowledge bases autonomously.

---

# 🎬 Video Overviews & Data Tables (v2026.2.0)

Generate AI-powered visual summaries and extract structured data from any notebook — all programmatically.

NotebookLM's Studio panel now offers Video Overviews and Data Tables alongside Audio Overviews. This release brings full automation for both.

# # generate_video_overview — AI Video Summaries

Generate visual video overviews of your notebook content with 10 visual styles:

| Style | Description |
|- -- -- --|- -- -- -- -- -- --|
| auto-select | Let NotebookLM choose the best style (default) |
| classic | Clean presentation style |
| whiteboard | Hand-drawn whiteboard aesthetic |
| kawaii | Cute illustrated style |
| anime | Anime-inspired visuals |
| watercolour | Watercolour painting style |
| retro-print | Retro print aesthetic |
| heritage | Traditional heritage style |
| paper-craft | Paper-craft visual style |
| custom | Custom visual style |

Two formats:

• Explainer — Full explanation (5-15 min)
• Brief — Quick summary (1-3 min)

"Generate a kawaii-style brief video overview for my Security Research notebook"

# # get_video_status — Check Generation Progress

Video generation takes 3-10 minutes. Check progress:

"Check video status for my Security Research notebook"
→ { "status": "generating", "progress": 0 }
→ { "status": "ready" }

# # generate_data_table — Structured Data Extraction

Generate a structured table from your notebook sources. NotebookLM extracts key information into rows and columns:

"Generate a data table for my research notebook"

# # get_data_table — Extract Table as JSON

Extract the generated table as structured JSON for processing:

"Get the data table from my research notebook"
→ {
    "headers": ["Title", "Year", "Key Finding", "Methodology", ...],
    "rows": [["Paper A", "2025", "Finding X", "Survey", ...], ...],
    "totalRows": 27,
    "totalColumns": 7
  }

# # When to Use Which Studio Feature

| Task | Best Tool | Why |
|- -- -- -|- -- -- -- -- --|- -- --|
| Podcast-style audio summary | generate_audio_overview | Shareable audio content |
| Visual presentation of research | generate_video_overview | Engaging video summary |
| Structured data for analysis | generate_data_table + get_data_table | Machine-readable JSON |
| Quick status check | get_audio_status / get_video_status | Non-blocking progress |

---

# 📊 Query History & Chat Extraction (v2026.1.0)

Track your research and recover conversations from NotebookLM notebooks.

# # get_query_history — Review Past Research (v1.10.8)

All queries made through the MCP are automatically logged for review:

"Show me my recent NotebookLM queries"
"Find queries about security from last week"
"What did I ask the fine-tuning notebook?"

• Automatic logging — every Q&A pair saved with metadata
• Search — find specific topics across all queries
• Filter — by notebook, session, or date
• Quota tracking — see query counts and timing

# # get_notebook_chat_history — Extract Browser Conversations (v2026.1.0)

Extract conversation history directly from a NotebookLM notebook's chat UI with context management to avoid overwhelming your AI context window:

Quick audit (preview mode):

{ "notebook_id": "my-research", "preview_only": true }

Returns message counts without content — test the water before extracting.

Export to file (avoids context overflow):

{ "notebook_id": "my-research", "output_file": "/tmp/chat-history.json" }

Dumps full history to disk instead of returning to context.

Paginate through history:

{ "notebook_id": "my-research", "limit": 20, "offset": 0 }
{ "notebook_id": "my-research", "limit": 20, "offset": 20 }

Page through large histories without loading everything at once.

Returns:

{
  "notebook_url": "https://notebooklm.google.com/notebook/xxx",
  "notebook_name": "My Research",
  "total_messages": 150,
  "returned_messages": 40,
  "user_messages": 75,
  "assistant_messages": 75,
  "offset": 0,
  "has_more": true,
  "messages": [...]
}

Use cases:

• Recover conversations made directly in the NotebookLM browser (not tracked by MCP)
• Audit research — see what queries were made in a notebook
• Resume context — pick up where a previous session left off
• Quota reconciliation — understand why quota seems off

---

# Why This Fork?

The original NotebookLM MCP is excellent for productivity — but MCP servers handle sensitive data:

• Browser sessions with Google authentication
• Cookies and tokens stored on disk
• Query history that may contain proprietary information

This fork adds 14 security hardening layers to protect that data.

---

# Security Features

| Layer | Feature | Protection |
|- -- -- --|- -- -- -- --|- -- -- -- -- -- -|
| 🔐 | Post-Quantum Encryption | ML-KEM-768 + ChaCha20-Poly1305 hybrid |
| 🔍 | Secrets Scanning | Detects 30+ credential patterns (AWS, GitHub, Slack...) |
| 📌 | Certificate Pinning | Blocks MITM attacks on Google connections |
| 🧹 | Memory Scrubbing | Zeros sensitive data after use |
| 📝 | Audit Logging | Tamper-evident logs with hash chains |
| ⏱️ | Session Timeout | 8h hard limit + 30m inactivity auto-logout |
| 🎫 | MCP Authentication | Token-based auth with brute-force lockout |
| 🛡️ | Response Validation | Detects prompt injection attempts |
| ✅ | Input Validation | URL whitelisting, sanitization |
| 🚦 | Rate Limiting | Per-session request throttling |
| 🙈 | Log Sanitization | Credentials masked in all output |
| 🐍 | MEDUSA Integration | Automated security scanning |
| 🖥️ | Cross-Platform | Native support for Linux, macOS, Windows |

# # Post-Quantum Ready

Traditional encryption (RSA, ECDH) will be broken by quantum computers. This fork uses hybrid encryption:

ML-KEM-768 (Kyber) + ChaCha20-Poly1305

• ML-KEM-768: NIST-standardized post-quantum key encapsulation
• ChaCha20-Poly1305: Modern stream cipher (immune to timing attacks)

Even if one algorithm is broken, the other remains secure.

# # Cross-Platform Support

Full native support for all major operating systems:

| Platform | File Permissions | Data Directory |
|- -- -- -- -- -|- -- -- -- -- -- -- -- --|- -- -- -- -- -- -- -- -|
| Linux | Unix chmod (0o600/0o700) | ~/.local/share/notebooklm-mcp/ |
| macOS | Unix chmod (0o600/0o700) | ~/Library/Application Support/notebooklm-mcp/ |
| Windows | ACLs via icacls (current user only) | %LOCALAPPDATA%\notebooklm-mcp\ |

All sensitive files (encryption keys, auth tokens, audit logs) are automatically protected with owner-only permissions on every platform.

# # Enterprise Compliance (v1.6.0+)

Full compliance support for regulated industries:

| Regulation | Features |
|- -- -- -- -- -- -|- -- -- -- -- -|
| GDPR | Consent management, DSAR handling, right to erasure, data portability |
| SOC2 Type II | Hash-chained audit logs, incident response, availability monitoring |
| CSSF | 7-year retention, SIEM integration, policy documentation |

# # # Compliance Tools (16 MCP tools)

compliance_dashboard    - Real-time compliance status
compliance_report       - Generate audit reports (JSON/CSV/HTML)
compliance_evidence     - Collect evidence packages
grant_consent          - Record user consent
submit_dsar            - Handle data subject requests
request_erasure        - Right to be forgotten
export_user_data       - Data portability export
create_incident        - Security incident management
...and 8 more

See COMPLIANCE-SPEC.md for full documentation.

---

# Installation

# # What Works Out of the Box (No API Key)

All core NotebookLM features work immediately with just browser authentication:

| Feature | Tool | Description |
|- -- -- -- --|- -- -- -|- -- -- -- -- -- --|
| 🔍 Query notebooks | ask_question | Get source-grounded answers from your documents |
| 📚 Manage library | add_notebook, list_notebooks, etc. | Organize your notebook collection |
| 🎙️ Audio overviews | generate_audio_overview | Create podcast-style summaries |
| 🎬 Video overviews | generate_video_overview | AI video summaries with 10 visual styles NEW |
| 📊 Data tables | generate_data_table, get_data_table | Structured data extraction as JSON NEW |
| 📝 Create notebooks | create_notebook | Programmatically create new notebooks |
| 🔄 Session management | list_sessions, reset_session | Manage conversation context |
| 📊 Chat history | get_notebook_chat_history | Extract past conversations |
| ❤️ Health checks | get_health | Verify authentication status |

Optional: Add GEMINI_API_KEY for bonus features like deep_research, gemini_query, and upload_document.

---

# # Claude Code

claude mcp add notebooklm - - npx @pan-sec/notebooklm-mcp@latest

# # With Authentication + Gemini (Recommended)

claude mcp add notebooklm \
  - -env NLMCP_AUTH_ENABLED=true \
  - -env NLMCP_AUTH_TOKEN=$(openssl rand -base64 32) \
  - -env GEMINI_API_KEY=your-gemini-api-key \
  - - npx @pan-sec/notebooklm-mcp@latest

# # Codex

codex mcp add notebooklm - - npx @pan-sec/notebooklm-mcp@latest

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@pan-sec/notebooklm-mcp@latest"],
      "env": {
        "NLMCP_AUTH_ENABLED": "true",
        "NLMCP_AUTH_TOKEN": "your-secure-token",
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Add to ~/.gemini/antigravity/mcp_config.json (macOS/Linux) or %USERPROFILE%\.gemini\antigravity\mcp_config.json (Windows):

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@pan-sec/notebooklm-mcp@latest"]
    }
  }
}

With optional env vars:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@pan-sec/notebooklm-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Note: Antigravity does NOT support ${workspaceFolder} variables. Use absolute paths.

Add to ~/.config/opencode/opencode.json (global) or opencode.json in project root:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "notebooklm": {
      "type": "local",
      "command": ["npx", "-y", "@pan-sec/notebooklm-mcp@latest"],
      "enabled": true,
      "environment": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Note: OpenCode uses "mcp" (not "mcpServers") and "command" is an array.

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@pan-sec/notebooklm-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Add to your VS Code settings.json:

{
  "mcp": {
    "servers": {
      "notebooklm": {
        "command": "npx",
        "args": ["-y", "@pan-sec/notebooklm-mcp@latest"],
        "env": {
          "GEMINI_API_KEY": "your-gemini-api-key"
        }
      }
    }
  }
}

Most MCP clients use this standard format:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@pan-sec/notebooklm-mcp@latest"],
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key"
      }
    }
  }
}

Common config locations:
| Client | Config File |
|- -- -- -- -|- -- -- -- -- -- --|
| Claude Desktop | ~/.config/claude/claude_desktop_config.json |
| Cursor | ~/.cursor/mcp.json |
| Antigravity | ~/.gemini/antigravity/mcp_config.json |
| OpenCode | ~/.config/opencode/opencode.json |
| Windsurf | ~/.codeium/windsurf/mcp_config.json |

---

# Quick Start

# # 1. Install (see above)

# # 2. Authenticate

"Log me in to NotebookLM"

Chrome opens → sign in with Google

# # 3. Add your notebook

Go to notebooklm.google.com → Create notebook → Upload docs → Share link

# # 4. Use it

"Research [topic] using this NotebookLM: [link]"

# # 5. Try Deep Research (NEW!)

"Use deep research to investigate [complex topic]"

---

# Complete Tool Reference

# # Research Tools

| Tool | Description | Backend |
|- -- -- -|- -- -- -- -- -- --|- -- -- -- --|
| ask_question | Query your NotebookLM notebooks | Browser |
| deep_research | Comprehensive research with citations | Gemini API |
| gemini_query | Fast queries with grounding tools | Gemini API |
| get_research_status | Check background research progress | Gemini API |

# # Notebook Management

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| add_notebook | Add notebook to library |
| list_notebooks | List all notebooks |
| get_notebook | Get notebook details |
| update_notebook | Update notebook metadata |
| remove_notebook | Remove from library |
| select_notebook | Set active notebook |
| search_notebooks | Search by query |

# # Source Management (v1.7.0+)

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| manage_sources | Add/remove/list sources |
| generate_audio | Create Audio Overview |
| sync_notebook | Sync sources from local files |

# # Studio Features (v2026.2.0)

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| generate_video_overview | Create AI video overview (10 visual styles, 2 formats) |
| get_video_status | Check video generation progress |
| generate_data_table | Generate structured data table from sources |
| get_data_table | Extract data table as JSON (headers + rows) |

# # Session & System

| Tool | Description |
|- -- -- -|- -- -- -- -- -- --|
| list_sessions | View active sessions |
| close_session | Close a session |
| reset_session | Reset session chat |
| get_health | Server health check (with deep_check for UI verification) |
| get_query_history | Review past queries with search/filter |
| get_notebook_chat_history | Extract browser conversations (pagination, file export) |
| setup_auth | Initial authentication |
| re_auth | Re-authenticate |
| cleanup_data | Deep cleanup utility |
| get_library_stats | Library statistics |
| get_quota | Check usage limits and remaining quota |

# # Compliance (v1.6.0+)

16 compliance tools for GDPR, SOC2, and CSSF requirements.

---

# What Gets Protected

| Data | Protection |
|- -- -- -|- -- -- -- -- -- -|
| Browser cookies | Post-quantum encrypted at rest |
| Session tokens | Auto-expire + memory scrubbing |
| Query history | Audit logged with tamper detection |
| Google connection | Certificate pinned (MITM blocked) |
| Log output | Credentials auto-redacted |
| API responses | Scanned for leaked secrets |
| Gemini API key | Secure memory handling |

---

# Configuration

All security features are enabled by default. Override via environment variables:

#  Authentication
NLMCP_AUTH_ENABLED=true
NLMCP_AUTH_TOKEN=your-secret-token

#  Gemini API (v1.8.0+)
GEMINI_API_KEY=your-api-key
GEMINI_DEFAULT_MODEL=gemini-3-flash-preview  #  Default (was gemini-2.5-flash)
GEMINI_DEEP_RESEARCH_ENABLED=true
GEMINI_TIMEOUT_MS=30000
NOTEBOOKLM_NO_GEMINI=false       #  Set to true to disable all Gemini tools

#  Tool Profiles
NOTEBOOKLM_PROFILE=standard      #  minimal (5 tools) | standard (33 tools) | full (all 47)
NOTEBOOKLM_DISABLED_TOOLS=       #  Comma-separated list of tools to hide

#  Encryption
NLMCP_USE_POST_QUANTUM=true
NLMCP_ENCRYPTION_KEY=base64-32-bytes  #  Optional custom key

#  Session Limits
NLMCP_SESSION_MAX_LIFETIME=28800  #  8 hours
NLMCP_SESSION_INACTIVITY=1800     #  30 minutes

#  Secrets Scanning
NLMCP_SECRETS_SCANNING=true
NLMCP_SECRETS_BLOCK=false         #  Block on detection
NLMCP_SECRETS_REDACT=true         #  Auto-redact

#  Certificate Pinning
NLMCP_CERT_PINNING=true

#  Audit Logging
NLMCP_AUDIT_ENABLED=true

#  Multi-Session Support (v2026.1.2+)
NOTEBOOK_PROFILE_STRATEGY=isolated  #  isolated|single|auto
NOTEBOOK_CLONE_PROFILE=true         #  Clone auth from base profile

# # Multi-Session Mode

Run multiple Claude Code sessions simultaneously with isolated browser profiles:

#  Add to ~/.bashrc or ~/.zshrc
export NOTEBOOK_PROFILE_STRATEGY=isolated
export NOTEBOOK_CLONE_PROFILE=true

| Variable | Values | Description |
|- -- -- -- -- -|- -- -- -- -|- -- -- -- -- -- --|
| NOTEBOOK_PROFILE_STRATEGY | single, auto, isolated | isolated = separate profile per session |
| NOTEBOOK_CLONE_PROFILE | true, false | Clone authenticated base profile into isolated instances |

How it works:

• Each session gets its own Chrome profile (no lock conflicts)
• Isolated profiles clone from the authenticated base profile
• Auth coordination ensures cloning waits for any in-progress authentication

See SECURITY.md for complete configuration reference.

---

# Security Scanning

Run MEDUSA security scanner:

npm run security-scan

Or integrate in CI/CD:

- name: Security Scan
  run: npx @pan-sec/notebooklm-mcp && npm run security-scan

---

# Comparison

# # vs Other NotebookLM MCPs

| Feature | Others | @pan-sec/notebooklm-mcp |
|- -- -- -- --|- -- -- -- -|- -- -- -- -- -- -- -- -- -- -- -- --|
| Zero-hallucination Q&A | ✅ | ✅ |
| Library management | ✅ | ✅ |
| Create Notebooks Programmatically | ❌ | ✅ EXCLUSIVE |
| Batch Create (10 notebooks) | ❌ | ✅ EXCLUSIVE |
| Gemini Deep Research | ❌ | ✅ EXCLUSIVE |
| Document API (no browser) | ❌ | ✅ EXCLUSIVE |
| Auto-chunking (1000+ page PDFs) | ❌ | ✅ EXCLUSIVE |
| Chat History Extraction | ❌ | ✅ NEW |
| Deep Health Verification | ❌ | ✅ NEW |
| Query History & Search | ❌ | ✅ |
| Quota Management | ❌ | ✅ |
| Source Management (add/remove) | ❌ | ✅ |
| Audio Overview Generation | ❌ | ✅ |
| Video Overview Generation (10 styles) | ❌ | ✅ NEW |
| Data Table Extraction (JSON) | ❌ | ✅ NEW |
| Gemini 3 + Thinking Control | ❌ | ✅ NEW |
| Structured JSON Output | ❌ | ✅ NEW |
| Sync from Local Directories | ❌ | ✅ |

# # Security & Compliance (Unique to This Fork)

| Feature | Others | @pan-sec/notebooklm-mcp |
|- -- -- -- --|- -- -- -- -|- -- -- -- -- -- -- -- -- -- -- -- --|
| Cross-platform (Linux/macOS/Windows) | ⚠️ Partial | ✅ Full |
| Post-quantum encryption | ❌ | ✅ ML-KEM-768 + ChaCha20 |
| Secrets scanning | ❌ | ✅ 30+ patterns |
| Certificate pinning | ❌ | ✅ Google MITM protection |
| Memory scrubbing | ❌ | ✅ Zero-on-free |
| Audit logging | ❌ | ✅ Hash-chained |
| MCP authentication | ❌ | ✅ Token + lockout |
| Prompt injection detection | ❌ | ✅ Response validation |
| GDPR Compliance | ❌ | ✅ Full |
| SOC2 Type II | ❌ | ✅ Full |
| CSSF (Luxembourg) | ❌ | ✅ Full |

Bottom line: If you need more than basic queries, or care about security, there's only one choice.

---

# Version History

| Version | Highlights |
|- -- -- -- --|- -- -- -- -- -- -|
| v2026.2.1 | 🔧 Standard profile expanded: 14 → 33 tools — all key features now visible by default |
| v2026.2.0 | 🚀 Gemini 3 models (2.5 retiring March 31), Video Overviews (10 styles), Data Table extraction (JSON), thinking level control, structured JSON output, SDK 1.41 |
| v2026.1.12 | 🔒 Security hardening — timing attack fix, command injection fix, 6 memory leak fixes, MCP SDK 1.26.0 |
| v2026.1.11 | 🔄 Notebook sync extraction for Angular UI, NOTEBOOKLM_NO_GEMINI env var |
| v2026.1.10 | 📝 Tool descriptions clarified for multi-LLM compatibility (OpenCode fix) |
| v2026.1.9 | 📄 Documentation & UX improvements, npm audit fix |
| v2026.1.8 | 📦 Major dependency updates (zod 4.x, dotenv 17.x, post-quantum 0.5.4) |
| v2026.1.7 | 🎨 MCP Protocol UX — tool icons, titles, behavior annotations |
| v2026.1.4 | 🛡️ Defense-in-depth path validation, security hardening |
| v2026.1.2 | 🔗 Multi-session auth coordination — lock system for concurrent sessions |
| v2026.1.1 | 🔍 Deep health check — verifies NotebookLM chat UI actually loads |
| v2026.1.0 | 📊 Chat history extraction with context management, CalVer versioning |
| v1.10.8 | Query history logging, quota tracking |
| v1.10.0 | Auto-chunking for large PDFs (1000+ pages) |
| v1.9.0 | Document API: upload, query, delete via Gemini Files API |
| v1.8.0 | Gemini Deep Research, Query with Grounding, Background Tasks |
| v1.7.0 | Programmatic notebook creation, batch operations, audio generation |
| v1.6.0 | Enterprise compliance: GDPR, SOC2 Type II, CSSF |
| v1.5.0 | Cross-platform support (Windows ACLs, macOS, Linux) |
| v1.4.0 | Post-quantum encryption, secrets scanning |

---

# Reporting Vulnerabilities

Found a security issue? Do not open a public GitHub issue.

Email: support@pantheonsecurity.io

---

# Credits

• Original MCP Server: Gérôme Dexheimer — notebooklm-mcp
• Security Hardening: Pantheon Security
• Post-Quantum Crypto: @noble/post-quantum
• Gemini API: Google AI

# License

MIT — Same as original.

---

Security hardened with 🔒 by Pantheon Security

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