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roomi-fields/notebooklm-mcp

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Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST A

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Описание

Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API.

README

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 across personal and Google Workspace accounts.

v2.2.1 — 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.

CI npm version npm downloads codecov License: MIT TypeScript Node.js

MCP Claude Code n8n GitHub


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

Accounts & Localization

  • Personal and Google Workspace accounts — recognizes both NotebookLM hosts (notebooklm.google.com and the notebook.google.com Workspace alias), so Workspace sessions authenticate cleanly instead of looping on "session expired"
  • UI-language-aware — drives NotebookLM whether its interface is in English, French, German, or Japanese (en · fr · de · ja); add a language in a single JSON file

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.

Quick Start

Option 0 — Claude Code marketplace (one-liner, recommended for Claude Code users)

The fastest way to get NotebookLM into Claude Code. Distributed via the roomi-fields/claude-plugins marketplace alongside RTFM (the retrieval companion — see RTFM integration guide):

/plugin marketplace add roomi-fields/claude-plugins
/plugin install notebooklm@roomi-fields

That registers the MCP server, runs npx -y @roomi-fields/notebooklm-mcp@<pinned-version> automatically (Node ≥ 18 required), and lets you upgrade with two commands when a new release ships: /plugin marketplace update roomi-fields then /reload-plugins. Then run npm run setup-auth once to log into Google. To install RTFM at the same time: /plugin install rtfm@roomi-fields.

Option 1 — HTTP REST API (n8n, Zapier, Make, curl, any HTTP client)

git clone https://github.com/roomi-fields/notebooklm-mcp.git
cd notebooklm-mcp
npm install && npm run build
npm run setup-auth   # One-time Google login
npm run start:http   # Start REST API on port 3000
# Citation-backed Q&A, single curl, JSON response
curl -X POST http://localhost:3000/ask \
  -H 'Content-Type: application/json' \
  -d '{"question": "Summarize chapter 3", "notebook_id": "your-id", "source_format": "json"}'

The full surface is 33 documented endpoints — see the REST API reference. For overnight batches of 1 000+ questions, see the batch pattern.

Option 2 — MCP Mode (Claude Code, Cursor, Codex)

# Build (same package, MCP transport)
git clone https://github.com/roomi-fields/notebooklm-mcp.git
cd notebooklm-mcp
npm install && npm run build

# Claude Code
claude mcp add notebooklm node /path/to/notebooklm-mcp/dist/index.js

# Cursor — add to ~/.cursor/mcp.json
{
  "mcpServers": {
    "notebooklm": {
      "command": "node",
      "args": ["/path/to/notebooklm-mcp/dist/index.js"]
    }
  }
}

Then say: "Log me in to NotebookLM" → Chrome opens → log in with Google.

Option 3 — Docker (NAS, server, headless)

# Build and run
docker build -t notebooklm-mcp .
docker run -d --name notebooklm-mcp -p 3000:3000 -p 6080:6080 -v notebooklm-data:/data notebooklm-mcp

# Authenticate via noVNC
# 1. Open http://localhost:6080/vnc.html
# 2. Run: curl -X POST http://localhost:3000/setup-auth -d '{"show_browser":true}'
# 3. Login to Google in the VNC window

See Docker Guide for NAS deployment (Synology, QNAP).


Documentation

Full docs site: https://roomi-fields.github.io/notebooklm-mcp/ · OpenAPI 3.1 spec

Guide Description
Installation Step-by-step setup for HTTP and MCP modes
Configuration Environment variables and security
REST API reference Complete HTTP endpoint documentation (33 endpoints)
Run 1 000 questions overnight Production batch pattern with auto-reauth and rotation
RTFM integration — cache as searchable vault Pipeline pattern: NotebookLM as one-shot ingestion, RTFM as retrieval layer. /batch-to-vault endpoint, nblm-answer-v1 schema.
n8n integration Workflow automation setup
Troubleshooting Common issues and solutions
Notebook library Multi-notebook management
Auto-discovery Autonomous metadata generation
Content management Audio, video, infographic, report, presentation
Multi-account rotation Multiple accounts with TOTP auto-reauth
Docker Docker and Docker Compose deployment
Multi-interface Run Claude Desktop + HTTP simultaneously
Compare with PleasePrompto v2.0.0 Feature matrix vs the upstream MCP-only server
Chrome profile limitation Profile locking (solved in v1.3.6+)
Adding a language i18n system for multilingual UI support

Roadmap

See ROADMAP.md for planned features and version history.

Latest releases:

  • v2.2.1 — Recognize both NotebookLM hosts so Google Workspace accounts authenticate (the notebook.google.com alias); notebook listing no longer wastes ~30s after the "Gemini Notebook" rebrand; HTTP banner reads the real version. Diagnosis + patch by @kpietkaa (#19)
  • v2.2.0 — Fix new-answer detection timing out when an answer repeats an earlier one (position-based identity, not text-hash); graceful shutdown on stdio disconnect; Japanese UI locale
  • v2.1.1 — Thai UI selectors for notebook_create (partial, #18)
  • v2.1.0note_list and note_get MCP tools (#17)
  • v2.0.4 — German UI selectors (closes #14)
  • v2.0.0 — Tools renamed to a namespaced tree (notebook_ask, source_add, session_list, server_health, vault_batch…) across 9 namespaces; tools/list advertises only the canonical names. Backward compatible — the legacy flat names still work as aliases, so existing scripts and configs keep running. Also adds MCP annotations (read-only / destructive / idempotent / open-world hints) and outputSchema + structuredContent on every tool. Published on the Smithery registry.
  • v1.7.0batch_to_vault exposed as a first-class MCP tool (parity with the HTTP endpoint, no localhost server required); shared runBatchToVault helper deduplicates the loop across both transports
  • v1.6.0/batch-to-vault endpoint + RTFM integration (nblm-answer-v1 JSON Schema published at schemas.roomi-fields.com/nblm-answer-v1.json) for caching NotebookLM answers as a searchable markdown vault
  • v1.5.8 — NotebookLM 2026 UI adaptations (icon-label sanitization, Discussion-panel recovery, count-based source detection) — PR #5 by @KhizarJamshaidIqbal
  • v1.5.7 — Citation extraction selector fix (.highlighted) and Docker multi-stage build — PR #1 by @JulienCANTONI
  • v1.5.6 — Citation extraction major rewrite (97% success rate), browser-verified auth at startup, profile auto-sync
  • v1.5.0 — Complete Studio content generation (video, infographic, presentation, data_table) + Notes management + Delete sources
  • v1.4.0 — Content management (sources, audio, generation) + Multi-account

Intermediate patch and hardening releases (1.5.x–1.7.x) are in the full CHANGELOG.

Not yet implemented:

  • Discover sources (Web/Drive search with Fast/Deep modes)
  • Edit notes (create, delete, and convert are implemented)

Disclaimer

This tool automates browser interactions with NotebookLM. Use a dedicated Google account for automation. CLI tools like Claude Code can make mistakes — always review changes before deploying.

See full Disclaimer below.


Contributing

Found a bug? Have an idea? Open an issue or submit a PR!

See CONTRIBUTING.md for guidelines.

License

MIT — Use freely in your projects. See LICENSE.

Author

Romain Peyrichou@roomi-fields


Full Disclaimer

About browser automation: While I've built in humanization features (realistic typing speeds, natural delays, mouse movements), I can't guarantee Google won't detect or flag automated usage. Use a dedicated Google account for automation.

About CLI tools and AI agents: CLI tools like Claude Code, Codex, and similar AI-powered assistants are powerful but can make mistakes:

  • Always review changes before committing or deploying
  • Test in safe environments first
  • Keep backups of important work
  • AI agents are assistants, not infallible oracles

I built this tool for myself and share it hoping it helps others, but I can't take responsibility for any issues that might occur. Use at your own discretion.


Built with frustration about hallucinated APIs, powered by Google's NotebookLM

Star on GitHub if this saves you debugging time!

from github.com/roomi-fields/notebooklm-mcp

Установка roomi-fields/notebooklm-mcp

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/roomi-fields/notebooklm-mcp

FAQ

roomi-fields/notebooklm-mcp MCP бесплатный?

Да, roomi-fields/notebooklm-mcp MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для roomi-fields/notebooklm-mcp?

Нет, roomi-fields/notebooklm-mcp работает без API-ключей и переменных окружения.

roomi-fields/notebooklm-mcp — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить roomi-fields/notebooklm-mcp в Claude Desktop, Claude Code или Cursor?

Открой roomi-fields/notebooklm-mcp на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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