Notebooklm MCP

Tools Notebooklm MCP exposes (49)

Listed by the server itself during our scan of commit f3939d6.

• notebook_ask

  # Conversational Research Partner (NotebookLM • Gemini 2.5 • Session RAG) ## No Active Notebook - Visit https://notebooklm.google to create a notebook and get a share link - Use **add_notebook** to add it to your library (explains how to get the link) - Use **list_notebooks** to show available sour

• library_discover

  🚀 AUTO-DISCOVERY — Automatically generate notebook metadata via NotebookLM (RECOMMENDED) ## When to Use - User provides NotebookLM URL and wants quick/automatic setup - User prefers not to manually specify metadata - Default choice for adding notebooks ## Workflow 1) User provides NotebookLM URL

• library_add

  📝 MANUAL ENTRY — Add notebook with manually specified metadata (use auto_discover_notebook instead) ## When to Use - Auto-discovery failed or unavailable - User has specific metadata requirements - User prefers manual control ## Conversation Workflow (Mandatory) When the user says: "I have a Note

• library_list

  List all library notebooks with metadata (name, topics, use cases, URL). Use this to present options, then ask which notebook to use for the task.

• library_get

  Get detailed information about a specific notebook by ID

• library_select

  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 i

• library_update

  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

• library_remove

  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 re

• library_search

  Search library by query (name, description, topics, tags). Use to propose relevant notebooks for the task and then ask which to use.

• library_stats

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

• session_list

  List all active sessions with stats (age, message count, last activity). Use to continue the most relevant session instead of starting from scratch.

• session_close

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

• session_reset

  Reset a session's chat history (keep same session ID). Use for a clean slate when the task changes; ask the user before resetting.

• server_health

  Get server health status including authentication state, active sessions, and configuration. Use this to verify the server is ready before starting research workflows. If authenticated=false and having persistent issues: Consider running cleanup_data(preserve_library=true) + setup_auth for fresh st

• auth_setup

  Google authentication for NotebookLM access - opens a browser window for manual login to your Google account. Returns immediately after opening the browser. You have up to 10 minutes to complete the login. Use 'get_health' tool afterwards to verify authentication was saved successfully. Use this for

• auth_logout

  De-authenticate (logout) - Clears all authentication data for security. Use this when: - User wants to log out for security reasons - Removing credentials before shutting down - Clearing auth without immediately re-authenticating This will: 1. Close all active browser sessions 2. Delete all saved a

• auth_switch

  Switch to a different Google account or re-authenticate. Use this when: - NotebookLM usage limit is reached (compute-based, refreshes every 5 hours) - You want to switch to a different Google account - Authentication is broken and needs a fresh start This will: 1. Close all active browser sessions

• server_cleanup

  ULTRATHINK Deep Cleanup - Scans entire system for ALL NotebookLM MCP data files across 8 categories. Always runs in deep mode, shows categorized preview before deletion. ⚠️ CRITICAL: Close ALL Chrome/Chromium instances BEFORE running this tool! Open browsers can prevent cleanup and cause issues. C

• source_add

  Add a source (document, URL, text, YouTube video) to the current NotebookLM notebook. Supported source types: - file: Upload a local file (PDF, DOCX, TXT, etc.) - url: Add a web page URL - text: Paste text content directly - youtube: Add a YouTube video URL - google_drive: Add a Google Drive docume

• source_delete

  Delete a source from the current NotebookLM notebook. You can identify the source to delete by either: - source_id: The unique identifier of the source - source_name: The name/title of the source (partial match supported) Use list_content first to see available sources and their IDs/names. WARNIN

• source_list

  List the sources of a NotebookLM notebook, with their IDs and titles. Use this to get the source_id that read_source and delete_source expect. RPC-backed (no browser).

• source_read

  Read a source’s full indexed content — the exact text NotebookLM reasons over, which the web UI only ever shows in fragments. Use it to quote a source verbatim, to check what was actually ingested from a PDF or web page, or to feed the raw material to another tool. Identify the source by source_id

• content_delete

  Delete a generated Studio artifact (audio overview, video, report, infographic, presentation, data table, flashcards, quiz) from a notebook. Use list_content first to get the artifact id. RPC-backed (no browser). WARNING: irreversible. Note-backed mind maps are not covered — they live in the notes

• content_generate

  Generate content from your NotebookLM sources. Supported content types: - audio_overview: Audio podcast/overview (Deep Dive conversation with two AI hosts) - video: Video summary that visually explains main topics (brief or explainer format) - presentation: Slides/presentation with AI-generated con

• content_list

  List all sources and generated content in the current notebook. Returns: - Sources: Documents, URLs, and other uploaded materials - Generated content: Audio overviews

• content_download

  Download or export generated content from NotebookLM. Supported content types: - audio_overview: Downloads as audio file (MP3) - video: Downloads as video file - infographic: Downloads as image file - presentation: Exports to Google Slides (returns URL) - data_table: Exports to Google Sheets (retur

• note_create

  Create a note in the NotebookLM Studio panel. Notes are user-created annotations that appear in your notebook. Use them to save research findings, summaries, key insights, or any custom content you want to keep alongside your sources. Notes support markdown formatting for rich text content.

• note_save_chat

  Save the current NotebookLM chat/discussion to a note. This tool extracts all messages from the current conversation (both user questions and NotebookLM AI responses) and saves them as a formatted note in the Studio panel. Use this to: - Preserve important research conversations - Create a summary

• note_to_source

  Convert a note to a source document in NotebookLM. This feature allows you to convert an existing note into a source, making the note content available for RAG queries and research. The method: 1. Finds the note by title in the Studio panel 2. Attempts to use NotebookLM's native "Convert to source

• vault_batch

  Run a list of questions against a notebook and persist each answer to disk as two artifacts: `{slug}.md` (markdown with YAML frontmatter, answer body and cited source excerpts) and `{slug}.json` (structured payload conforming to the nblm-answer-v1 schema). Designed for one-shot ingestion of a notebo

• notebook_list

  Scrape the NotebookLM homepage to get a real list of all notebooks with their IDs and names. This tool navigates to notebooklm.google.com and extracts: - Notebook ID (UUID from URL) - Notebook name (displayed title) - Notebook URL Use this to: - Discover notebooks not yet in your library - Get acc

• notebook_create

  Create a brand-new empty notebook directly in NotebookLM (no pre-existing URL required, unlike `add_notebook` which only registers an already-created notebook into the library). Returns `{ notebook_url, notebook_id, name_applied, actual_name, message }`. - `notebook_url` / `notebook_id`: always the

• notebook_delete

  Delete one or more notebooks directly from NotebookLM (UI-level deletion, not just from the local library). Pass an array of notebook IDs (UUIDs from `list_notebooks_from_nblm`). Returns `{ deleted: [...], failed: [...] }` so the caller can retry or report on partial failures. Use this to: - Bulk-

• note_list

  List all user notes in the NotebookLM Studio panel. Returns note titles, IDs, and timestamps (e.g. details).

• note_get

  Retrieve the full title and text content of a specific note in the NotebookLM Studio panel.

• rename_source

  Rename one source inside a notebook. RPC-backed (no browser). Identify the source by `source_id` (see list_sources) or by `source_name` — an ambiguous name is refused rather than guessed.

• check_source_freshness

  Say whether URL / Drive sources have drifted from what they point at. Name no source to check the whole notebook. RPC-backed (no browser). `stale: null` means the server did not say — not that the source is current.

• get_source_guide

  Read NotebookLM’s own summary and key topics for a single source. RPC-backed. A source NotebookLM has not summarised yet returns an empty summary.

• search_passages

  Find the passages in a notebook’s sources that match a query, ranked best first. RPC-backed (no browser). This is retrieval, not an answer: nothing is generated, no generation quota is spent, and you get the indexed text with its offsets. Prefer this over ask_question when you want the evidence rath

• get_notebook_summary

  Read a notebook’s own summary of its sources and the questions it suggests asking. RPC-backed (no browser). Cheaper than asking a question to find out what is in there.

At a glance

Stars

217

Forks

66

Language

TypeScript

License

MIT

Created

Nov 2025

Last update

Oct 30, 2026

Type

MCP Server

Price

Free

Topics

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