Notebooklm Secure MCP server

Read from the package source without running it. The installed server may list more.

• add_folder

  Add all files from a local folder as sources to a NotebookLM notebook. ## Use this when - User wants to add a folder of PDFs, docs, or text files to a notebook - Adding 5+ files at once (faster than calling add_source repeatedly) ## Behaviour - Scans the folder for supported file types (default: .pdf, .txt, .md, .docx) - Adds each file one-by-one with progress updates - Skips files that fail and r

• add_notebook

  Add a NotebookLM notebook to the local library after explicit user confirmation.

• add_source

  Add a source to an existing NotebookLM notebook. If neither `notebook_id` nor `notebook_url` is provided, this tool uses the currently active notebook from the local library. ## Source Types - **url**: Web page URL - **text**: Text content (paste) - **file**: Local file path (PDF, DOCX, TXT) ## Example ```json { "notebook_id": "my-notebook", "source": { "type": "url", "value": "https://docs.exampl

• batch_create_notebookswrite action

  Create multiple NotebookLM notebooks in one operation. ## What This Tool Does - Creates up to 10 notebooks in a single batch operation - Reports progress for each notebook - Optionally continues on error or stops on first failure - Auto-adds created notebooks to your library ## Example Usage ```json { "notebooks": [ { "name": "React Documentation", "sources": [ { "type": "url", "value": "https://r

• cleanup_data

  Preview or delete NotebookLM MCP data across known install, browser, cache, log, backup, and trash locations.

• close_session

  Close a specific session by session ID. Ask before closing if the user might still need it.

• collect_audit_evidence

  Collect evidence package for compliance audits. Creates a verifiable package with checksums.

• compliance_dashboard

  Get comprehensive compliance dashboard with GDPR, SOC2, and CSSF status. Shows overall compliance score, health status, and key metrics.

• compliance_score

  Get current compliance score (0-100) for each regulation and overall. Includes detailed breakdown by category.

• configure_webhook

  Add or update a webhook endpoint for event notifications.

• create_notebookwrite action

  Create a new NotebookLM notebook with sources programmatically. ## What This Tool Does - Creates a NEW notebook in your NotebookLM account - Uploads sources (URLs, text, files) to the notebook - Returns the notebook URL for immediate use - Optionally adds to your local library ## Supported Source Types - **url**: Web page URL (documentation, articles, etc.) - **text**: Raw text content (code, note

• deep_research

  Perform deep research using Gemini's Deep Research agent. > **⚠️ REQUIRES GEMINI_API_KEY** - Do NOT use this tool unless GEMINI_API_KEY is configured. For notebook queries, use ask_question instead (no API key needed). This runs in the background and can take 1-5 minutes to complete. ## When to Use - ONLY when GEMINI_API_KEY is configured - You need comprehensive research on a topic NOT in your no

• delete_documentwrite action

  Delete an uploaded document from Gemini. ## What This Does - Removes a file from Gemini Files API - File will no longer be available for queries - Frees up storage space ## Notes - Files auto-delete after 48 hours anyway - Use this to immediately remove sensitive documents ## Requirements - GEMINI_API_KEY environment variable must be set

• download_audio

  Download the generated audio overview file. ## Requirements - Audio must be in "ready" status - Use get_audio_status to check before downloading ## Output Downloads to specified path or ~/notebooklm-audio-{timestamp}.mp3 ## Example ```json { "notebook_id": "my-research", "output_path": "/path/to/save/podcast.mp3" } ```

• export_library

  Export your notebook library to a backup file. ## Formats - **json**: Full backup with all metadata (recommended for restore) - **csv**: Simple list for spreadsheets (name, url, topics, last_used) ## Default Location If no output_path specified, saves to: ~/notebooklm-library-backup-{date}.{format} ## Example Usage ```json { "format": "json" } ``` Export to specific location: ```json { "format": "

• export_user_data

  Export all user data in machine-readable format (GDPR Article 20 - Right to Data Portability).

• gemini_query

  Quick query to Gemini model with optional grounding tools. > **⚠️ REQUIRES GEMINI_API_KEY** - Do NOT use this tool unless GEMINI_API_KEY is configured. For notebook queries, use ask_question instead (no API key needed). Supports: - Google Search grounding for current information - Code execution for calculations - URL analysis for web content ## Requirements - GEMINI_API_KEY environment variable M

• generate_audio_overview

  Generate an AI-powered audio overview (podcast-style) for a notebook. ## What This Tool Does - Triggers NotebookLM's audio overview generation - Audio overviews are ~5-15 minute podcast-style summaries - Generation takes 2-5 minutes typically - Returns immediately with status (check with get_audio_status) ## Requirements - Notebook must have at least one source - Audio generation may not be availa

• generate_compliance_report

  Generate a compliance audit report. Supports multiple report types and formats.

• generate_data_table

  Generate a structured Data Table from notebook sources. ## What This Tool Does - Opens the Studio panel in NotebookLM - Generates a structured tabular extraction from notebook content - Tables organize key information from sources into rows and columns - Generation typically takes 1-3 minutes - Returns immediately with status (check with get_data_table) ## Requirements - Notebook must have at leas

• generate_video_overview

  Generate an AI-powered Video Overview for a notebook. ## What This Tool Does - Opens the Studio panel in NotebookLM - Generates a visual video summary of notebook content - Supports multiple visual styles and formats - Generation takes 3-10 minutes typically - Returns immediately with status (check with get_video_status) - NotebookLM does not currently expose a supported video download path throug

• get_audio_status

  Check the audio overview generation status for a notebook. ## Returns - status: "not_started" | "generating" | "ready" | "failed" | "unknown" - progress: Generation progress (0-100) if generating - duration: Audio duration in seconds if ready ## Example ```json { "notebook_id": "my-research" } ```

• get_consent_status

  Get current consent status for all data processing purposes.

• get_data_table

  Extract the generated Data Table content from a notebook. ## What This Tool Does - Navigates to the notebook's Studio panel - Extracts the table data (headers and rows) as structured JSON - Returns the full table content for analysis ## Returns - table.headers: Column headers - table.rows: Array of row arrays - table.totalRows: Number of rows - table.totalColumns: Number of columns ## Requirements

• get_health

  Get server health status including authentication state, active sessions, and configuration.

• get_incident_status

  Get status of security incidents including open, investigating, and resolved counts.

• get_library_stats

  Get statistics about your notebook library (total notebooks, usage, etc.)

• get_notebook

  Get detailed information about a specific notebook by ID

• get_notebook_chat_history

  Extract conversation history from a NotebookLM notebook's chat interface. This tool uses browser automation to navigate to a notebook and extract all Q&A pairs from the chat UI. This is useful for: - Recovering previous research conversations - Auditing what queries were made in a notebook - Understanding quota usage from direct NotebookLM browser usage - Resuming context from previous sessions ##

• get_policy

  Get detailed information about a specific compliance policy.

• get_project_info

  Get current project context and library location.

• get_query_history

  Retrieve past NotebookLM queries and answers for reviewing research sessions. Use this tool to: - Review past research conversations - Find specific information from previous queries - Track which notebooks and sessions you've used - Search through question and answer content Returns query entries with question, answer, notebook, session, and timing info.

• get_quota

  Get current quota status including license tier, usage, and limits.

• get_research_status

  Check the status of a background deep research task. Use this when you started deep_research with wait_for_completion=false. ## Returns - status: pending | running | completed | failed - answer: The research result (if completed) - error: Error message (if failed)

• get_video_status

  Check the Video Overview generation status for a notebook. ## Returns - status: "not_started" | "generating" | "ready" | "failed" | "unknown" - progress: Generation progress (0-100) if generating - duration: Video duration in seconds if ready ## Example ```json { "notebook_id": "my-research" } ```

• grant_consent

  Grant consent for a specific data processing purpose.

• list_documents

  List all documents uploaded to Gemini. ## What This Does - Shows all files currently stored in Gemini Files API - Files expire 48 hours after upload - Returns file names, sizes, and expiration times ## Use Cases - Check what documents are available for querying - Find file IDs for query_document - Monitor storage usage ## Requirements - GEMINI_API_KEY environment variable must be set

• list_evidence_packages

  List all saved evidence packages with their metadata.

• list_notebooks

  List all library notebooks with metadata (name, topics, use cases, URL).

• list_policies

  List all compliance policies with their status and review dates.

• list_sessions

  List all active sessions with stats (age, message count, last activity).

• list_sources

  List sources in a notebook. Provide notebook_id or notebook_url; if neither is provided,

• list_webhooks

  List all configured webhooks with their status and statistics.

• query_chunked_document

  Query a large document that was automatically chunked during upload. ## What This Does - Queries each chunk of a large document - Aggregates results into a single coherent answer - Handles documents of any size (1000+ pages) ## When to Use - After upload_document returns wasChunked=true - When you have multiple chunk file IDs to query together - For comprehensive analysis of large PDFs ## How It W

• query_document

  Ask questions about an uploaded document. ## What This Does - Queries a document previously uploaded with upload_document - Uses Gemini's document understanding (text, images, charts, tables) - Returns answers grounded in the document content ## Features - Full document understanding (not just text extraction) - Can analyze charts, diagrams, and tables in PDFs - Multi-document queries (pass additi

• remove_notebookwrite action

  Dangerous — requires explicit user confirmation. ## Confirmation Workflow 1) User requests removal ("Remove the React notebook") 2) Look up full name to confirm 3) Ask: "Remove '[notebook_name]' from your library? (Does not delete the actual NotebookLM notebook)" 4) Only on explicit "Yes" → call remove_notebook Never remove without permission or based on assumptions. Example: User: "Delete the old

• remove_sourcewrite action

  Remove a source from a NotebookLM notebook. If neither `notebook_id` nor `notebook_url` is provided, this tool uses the currently active notebook from the local library. ## Usage 1. First call list_sources to get source IDs 2. Then call remove_source with the source ID ## Example ```json { "notebook_id": "my-notebook", "source_id": "source-0" } ```

• remove_webhookwrite action

  Remove a configured webhook by ID.

• report_security_incident

  Report a security incident for investigation and tracking.

• request_data_erasure

  Request erasure of personal data (GDPR Article 17 - Right to Erasure). Creates an erasure request for review.

• reset_session

  Reset a session's chat history (keep same session ID).

• revoke_consent

  Revoke previously granted consent for a data processing purpose.

• run_health_checkwrite action

  Run a comprehensive health check of all compliance components.

• search_notebooks

  Search library by query (name, description, topics, tags).

• select_notebook

  Set a notebook as the active default (used when ask_question has no notebook_id). ## When To Use - User switches context: "Let's work on React now" - User asks explicitly to activate a notebook - Obvious task change requires another notebook ## Auto-Switching - Safe to auto-switch if the context is clear and you announce it: "Switching to React notebook for this task..." - If ambiguous, ask: "Swit

• set_quota_tier

  Manually set your NotebookLM license tier.

• submit_dsarwrite action

  Submit a Data Subject Access Request (GDPR Article 15-17, 20). Initiates the DSAR workflow.

• sync_library

  Sync your local library with actual NotebookLM notebooks. ## What This Tool Does - Navigates to NotebookLM and extracts all your notebooks - Compares with local library entries - Detects stale entries (notebooks deleted or URLs changed) - Identifies notebooks not in your library - Optionally auto-removes stale entries ## When To Use - Library seems out of sync with NotebookLM - After deleting note

• test_webhookwrite action

  Send a test event to a webhook to verify it's working.

• update_notebookwrite action

  Update notebook metadata based on user intent. ## Pattern 1) Identify target notebook and fields (topics, description, use_cases, tags, url) 2) Propose the exact change back to the user 3) After explicit confirmation, call this tool ## Examples - User: "React notebook also covers Next.js 14" You: "Add 'Next.js 14' to topics for React?" User: "Yes" → call update_notebook - User: "Include error hand

• upload_documentwrite action

  Upload a document (PDF, text, etc.) to Gemini for querying. > **⚠️ REQUIRES GEMINI_API_KEY** - For adding documents to NotebookLM notebooks (no API key), use create_notebook or add_source instead. ## What This Does - Uploads a local file to Gemini's Files API - File is retained for 48 hours - Returns a file ID for use with query_document ## Auto-Chunking for Large PDFs (v1.10.0) - PDFs over 50MB o

• verify_audit_log_integrity

  Verify the integrity of compliance audit logs using hash chain verification.

• verify_evidence_integrity

  Verify the integrity of an evidence package using cryptographic checksums.

• Code scan212 source files scanned25/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancelast push 17 days ago15/15
• Maintainer identityregistry namespace matches repository owner7/10

Notebooklm Secure: common questions

Is Notebooklm Secure MCP server safe?

Yes, by our scan: it is graded A (91/100). Read the Notebooklm Secure safety report

How do I install Notebooklm Secure?

It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.

Does Notebooklm Secure need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Notebooklm Secure maintained?

The last commit was 18 days ago (2026-09-03). The latest release is v2026.5.0.

What can I use instead of Notebooklm Secure?

Servers from other publishers that do the same job: Prodcheck MCP server, Raven Nest MCP server and CrowdStrike Falcon MCP Server. Compare all Notebooklm Secure alternatives.