notebooklm

Automate Google NotebookLM at scale: perform citation-backed Q&A on research sources, generate full Studio assets (audio, video, infographic, report, presentation, data table), manage multi-account rotation with auto-reauth, and cache answers offline for later RTFM-style ingestion.

NotebookLM REST API + MCP server

Automate Google NotebookLM at scale. 33-endpoint HTTP REST API for n8n / Zapier / Make / curl, plus an MCP server for Claude Code / Cursor / Codex. Citation-backed Q&A, full Studio generation (audio · video · infographic · report · presentation · data table), multi-account rotation with auto-reauth.

v2.1.0 — production-grade, batch-tested on overnight runs of 1 000+ questions. Tools are now a namespaced tree (notebook_ask, source_add, session_list…) with MCP annotations + outputSchema on every tool — the old flat names still work as aliases, nothing breaks. See the changelog for the full mapping. Compare with PleasePrompto/notebooklm-mcp v2.0.0 to see when this project is the right pick (REST API, full Studio, auto-reauth) and when the MCP-only upstream is.

Features

Q&A with Citations

Ask questions to NotebookLM and get accurate, citation-backed answers
Source citation extraction with 5 formats: none, inline, footnotes, json, expanded (97% excerpt success rate)
Session management for multi-turn conversations with auto-reauth on session expiry

Content Generation

Generate multiple content types from your notebook sources:

Content Type	Formats	Options
Audio Overview	Podcast-style discussion	Language (80+), custom instructions
Video	Brief, Explainer	6 visual styles, language, custom instructions
Infographic	Horizontal, Vertical	Language, custom instructions
Report	Summary, Detailed	Language, custom instructions
Presentation	Overview, Detailed	Language, custom instructions
Data Table	Simple, Detailed	Language, custom instructions

Video Visual Styles: classroom, documentary, animated, corporate, cinematic, minimalist

Content Download

Download Audio — WAV audio files
Download Video — MP4 video files
Download Infographic — PNG image files
Text-based content (report, presentation, data_table) is returned in the API response

Source Management

Add sources: Files (PDF, TXT, DOCX), URLs, Text, YouTube videos, Google Drive
List sources: View all sources in a notebook

Notebook Library

Multi-notebook management with validation and smart selection
Auto-discovery: Automatically generate metadata via NotebookLM queries
Search notebooks by keyword in name, description, or topics
Scrape notebooks: List all notebooks from NotebookLM with IDs and names
Bulk delete: Delete multiple notebooks at once

Integration Options

MCP Protocol — Claude Code, Cursor, Codex, any MCP client
HTTP REST API — n8n, Zapier, Make.com, custom integrations
Docker — Isolated deployment with Docker or Docker Compose
RTFM retrieval layer — /batch-to-vault writes citation-backed answers as markdown + JSON sidecars (nblm-answer-v1 schema), indexable by RTFM (FTS5 + semantic) for unlimited offline queries. Ideal for academic / SOTA workflows. Guide.

notebooklm

Popularity

What's Inside

README

NotebookLM REST API + MCP server

Features

Q&A with Citations

Content Generation

Content Download

Source Management

Notebook Library

Integration Options

Quick Start

Confidence

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