# roomi-fields/notebooklm-mcp [Health: Active] **Category:** 🧠 Knowledge & Memory **Repository:** https://github.com/roomi-fields/notebooklm-mcp **GitHub Stars:** 176 **Views:** 2 **Installs:** 0 **Upvotes:** 0 **Directory Page:** https://allmcps.com/mcp/roomi-fields-notebooklm-mcp ## Description Full automation of Google NotebookLM β€” Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API. ## Claude Desktop Quick Installation Install path detected from listing signals. Uses `npx` (confidence: high): ```json "mcpServers": { "notebooklm-mcp": { "command": "npx", "args": ["-y","@roomi-fields/notebooklm-mcp@"], "env": { "NOTEBOOKLM_TRANSPORT": "" } } } ``` **Requires environment variables:** `NOTEBOOKLM_TRANSPORT` β€” the values above are empty placeholders; fill in real credentials before running (see the repository for what each one is for). ## Documentation & 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 Β· video Β· infographic Β· report Β· presentation Β· data table), multi-account rotation with auto-reauth across personal and Google Workspace accounts.** > v3.2.0 β€” **generated content can finally be deleted** (`content_delete`): the endpoint had been declared and called by nothing since v3, so notebooks accumulated every draft ever asked for. Builds on 3.1.x, where **generated content stopped coming back in the wrong language** β€” the interface locale was overriding the `language` argument on both transports, silently, while reporting success. Also: reading a source's full indexed text (`source_read`, paginated), working source labels, and RPC refusals reported as refusals instead of as a rotated endpoint id. Built on a **dual transport** β€” the internal `batchexecute` RPC API (10-100Γ— faster than scraping, immune to UI rebrands) with the Playwright browser as an automatic fallback, both shipped permanently. Batch-tested on overnight runs of 1 000+ questions. See the [changelog](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/CHANGELOG.md). [Compare with `PleasePrompto/notebooklm-mcp`](https://roomi-fields.github.io/notebooklm-mcp/compare) for when this project is the right pick (REST API, full Studio, auto-reauth). > **Note (July 2026):** Google rebranded **NotebookLM** to **Gemini Notebook**. It is the same product, existing links redirect, and this project drives the same underlying service β€” the browser path was updated for the new DOM in v2.3.0 and the RPC path in v3.0.0. Package and repository keep the `notebooklm` name. [![CI](https://github.com/roomi-fields/notebooklm-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/roomi-fields/notebooklm-mcp/actions/workflows/ci.yml) [![npm version](https://badge.fury.io/js/%40roomi-fields%2Fnotebooklm-mcp.svg)](https://www.npmjs.com/package/@roomi-fields/notebooklm-mcp) [![npm downloads](https://img.shields.io/npm/dm/@roomi-fields/notebooklm-mcp.svg)](https://www.npmjs.com/package/@roomi-fields/notebooklm-mcp) [![codecov](https://codecov.io/gh/roomi-fields/notebooklm-mcp/branch/main/graph/badge.svg)](https://codecov.io/gh/roomi-fields/notebooklm-mcp) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue.svg)](https://www.typescriptlang.org/) [![Node.js](https://img.shields.io/badge/Node.js->=18-green.svg)](https://nodejs.org/) [![MCP](https://img.shields.io/badge/MCP-compatible-green.svg)](https://modelcontextprotocol.io/) [![Claude Code](https://img.shields.io/badge/Claude_Code-MCP-8A2BE2)](https://claude.ai/claude-code) [![n8n](https://img.shields.io/badge/n8n-HTTP_API-orange)](./deployment/docs/04-N8N-INTEGRATION.md) [![GitHub](https://img.shields.io/github/stars/roomi-fields/notebooklm-mcp?style=social)](https://github.com/roomi-fields/notebooklm-mcp) [![MCP Toplist](https://mcptoplist.com/badge/io.github.roomi-fields%2Fnotebooklm-mcp.svg)](https://mcptoplist.com/server/io.github.roomi-fields%2Fnotebooklm-mcp)
--- > **Unofficial project β€” good to know before you start** > > This is not affiliated with Google. It talks to the same `batchexecute` > endpoints the NotebookLM web app uses, with a browser fallback when they move. > They are undocumented, so they can change without notice β€” when that happens we > ship a fix, as we have for every change so far. > > Two practical notes: use a **dedicated Google account** for automation, and > expect NotebookLM's own quotas to apply at high volume. See > [Disclaimer](#disclaimer) for the full text. --- ## What You Can Build πŸ”— **No-code automation pipelines** β€” The 33-endpoint REST API means NotebookLM becomes a step in n8n, Zapier, Make, or a plain `curl` in cron. No agent, no MCP client, no Node in your stack β€” just HTTP. This is the half most NotebookLM libraries don't have. πŸ€– **Agent tooling** β€” The same engine over MCP for Claude Code, Cursor and Codex, with a bundled skill that primes the agent on citation formats, the daily-quota-aware batch pattern, and transport selection. πŸ“š **Research at volume** β€” Multi-account rotation with automatic re-authentication, built for overnight runs of 1 000+ questions across several notebooks without babysitting. πŸŽ™οΈ **Full Studio generation** β€” Audio overviews, video, infographics, reports, presentations, data tables, plus flashcards, quizzes and mind maps β€” generated and downloaded programmatically. ## Use Cases & Recipes NotebookLM is a **grounded** engine: Gemini reads your sources and answers _from them_, with citations. The winning pattern is to let it do the expensive reading while your own stack handles orchestration and the last mile. **Spend fewer tokens β€” offload the reading** - **πŸͺ™ Zero-token synthesis layer** β€” Drop 30 documents in a notebook, let Gemini do the heavy analysis, and spend your agent's context only on the final polish. The reasoning happens server-side; your agent just orchestrates (`add_notebook` β†’ `source_add` β†’ `notebook_ask`). - **πŸ’Ύ Answer cache you can re-read offline** β€” `vault_batch` writes every answer to disk as structured JSON against a published [schema](https://schemas.roomi-fields.com/nblm-answer-v1.json), so a batch run becomes a corpus you can grep, diff, re-index, or feed to a retrieval layer β€” without re-querying and re-spending quota. **Wire it into things that aren't agents** - **βš™οΈ NotebookLM as an n8n / Zapier / Make step** β€” Because it speaks plain HTTP, a citation-backed answer becomes one node in a workflow: a form submission triggers a question, the cited answer lands in a sheet, a Slack message, or a database. No agent runtime involved. - **πŸ“„ Document intake pipeline** β€” Watch a folder or an inbox, push new PDFs and URLs in as sources, and ask a standing set of questions against them on every arrival. **Grounded answers with a paper trail** - **πŸ” Citations with the actual source text** β€” Answers come back with source names _and the quoted excerpts_ they rest on, extracted from the citation panel β€” so a claim can be checked, not just attributed. - **πŸŽ“ Literature review at thesis scale** β€” Batch 100+ research questions across multiple notebooks, rotate accounts as daily quotas run out, and resume where it stopped. Built for, and tested on, exactly this. **Get artifacts back out** - **πŸ” One source set, every format** β€” Fan a single notebook out to a podcast, a video, a slide deck, a report, a quiz and a mind map, then download them all locally. --- ## In the Wild Real deployments, not hypotheticals. - **πŸ“š A doctoral literature review at batch scale** β€” The project was built for, and is continuously tested on, overnight runs of **1 000+ research questions** spread across several notebooks: multi-account rotation picks up when a daily quota runs out, every answer is written to disk with its citations, and an interrupted run resumes instead of starting over. The batch pattern in [`vault_batch`](#features) exists because a thesis needed it. - **πŸ”Œ Replacing a RAG engine with the REST API** β€” [`musnymubarak/Calim_Doc`](https://github.com/musnymubarak/Calim_Doc) swapped a Gemini-based retrieval engine for this project's HTTP API, running it as a Docker service (`notebooklm:3000`) behind a full client and worker layer. A good illustration of the REST half: no agent runtime, no MCP client β€” NotebookLM simply became a backend service their Python app calls. Built something with it? Open an issue β€” this section is for other people's work. ## 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 | | **Flashcards** | Study cards | Language, custom instructions | | **Quiz** | Assessment questions | Language, custom instructions | | **Mind Map** | Interactive node graph | Saved to the notebook | **Video Visual Styles**: classroom, documentary, animated, corporate, cinematic, minimalist **Language of generated content**: pass `language` to any generator β€” a BCP-47 code (`es`, `ja`, `pt_BR`, `zh_Hans`) or a name in English or in the language itself (`"Spanish"`, `"EspaΓ±ol"`). 81 languages are accepted, and an unrecognised one is refused rather than quietly swapped for another. Set a default with `NOTEBOOKLM_CONTENT_LANGUAGE`; it is deliberately independent of `NOTEBOOKLM_UI_LOCALE`, which only picks the interface language the browser fallback reads. Flashcards and quizzes are generated via `generate_study_aid`; mind maps via `generate_mind_map`. v3 also adds `share_notebook`, `manage_labels`, and `research_sources` (web/Drive source discovery) β€” see the [changelog](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/CHANGELOG.md). ### Content Download - **Download Audio** β€” WAV audio files - **Download Video** β€” MP4 video files - **Download Infographic** β€” PNG image files - Text-based content (report, presentation, data_table) is returned in the API response - **Delete generated content** (`content_delete`) β€” until now a notebook accumulated every draft anyone ever asked for, with no way to remove one short of the web UI ### Source Management - **Add sources**: Files (PDF, TXT, DOCX), URLs, Text, YouTube videos, Google Drive - **List sources**: Every source with its ID and title (`source_list`) - **Read a source in full** (`source_read`): the exact text NotebookLM indexed β€” what it actually reasons over, which the web UI only shows in fragments. Quote a source verbatim, check what a PDF really yielded, or hand the raw material to another tool. Name the source instead of its ID if you prefer; an ambiguous name is refused rather than guessed. Long sources arrive **one page at a time**, with an explicit instruction for fetching the next β€” or `paginate: false` for the whole document at once. ### 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** β€” 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** β€” drives NotebookLM whether its interface is in English, French, German, or Japanese (`en` Β· `fr` Β· `de` Β· `ja`); [add a language](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/docs/ADDING_A_LANGUAGE.md) in a single JSON file ### Integration Options - **MCP Protocol** β€” Claude Code, Cursor, Codex, any MCP client - **Agent Skill** β€” ships a bundled [`notebooklm` skill](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/skills/notebooklm/SKILL.md) (also standalone: [`roomi-fields/notebooklm-skill`](https://github.com/roomi-fields/notebooklm-skill)) that teaches the agent citation formats, the daily-quota-aware batch pattern, and when to use which transport - **HTTP REST API** β€” n8n, Zapier, Make.com, custom integrations - **Docker** β€” Isolated deployment with Docker or Docker Compose - **[RTFM](https://github.com/roomi-fields/rtfm) retrieval layer** β€” `/batch-to-vault` writes citation-backed answers as markdown + JSON sidecars (`nblm-answer-v1` schema), indexable by [RTFM](https://github.com/roomi-fields/rtfm) (FTS5 + semantic) for unlimited offline queries. Ideal for academic / SOTA workflows. [Guide](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/14-RTFM-INTEGRATION.md). --- ## Quick Start ### Option 0 β€” 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`](https://github.com/roomi-fields/claude-plugins) marketplace alongside [RTFM](https://github.com/roomi-fields/rtfm) (the retrieval companion β€” see [RTFM integration guide](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/14-RTFM-INTEGRATION.md)): ```text /plugin marketplace add roomi-fields/claude-plugins /plugin install notebooklm@roomi-fields ``` That registers the MCP server, runs `npx -y @roomi-fields/notebooklm-mcp@` automatically (Node β‰₯ 18 required), and lets you upgrade with two commands when a new release ships: `/plugin marketplace update roomi-fields` then `/reload-plugins`. Then run `npx -y -p @roomi-fields/notebooklm-mcp notebooklm-mcp-setup-auth` once in a terminal to log into Google (a visible Chrome opens). To install RTFM at the same time: `/plugin install rtfm@roomi-fields`. ### Option 1 β€” HTTP REST API (n8n, Zapier, Make, curl, any HTTP client) ```bash 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 ``` ```bash # 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** β€” see the [REST API reference](https://roomi-fields.github.io/notebooklm-mcp/notebooklm-rest-api). For overnight batches of 1 000+ questions, see the [batch pattern](https://roomi-fields.github.io/notebooklm-mcp/batch-1000-questions). ### Option 2 β€” MCP Mode (Claude Code, Cursor, Codex) ```bash # 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 β€” add to ~/.cursor/mcp.json { "mcpServers": { "notebooklm": { "command": "node", "args": ["/path/to/notebooklm-mcp/dist/index.js"] } } } ``` **Log in once β€” in a terminal, not through the assistant.** Run the interactive Google login as a command; a visible Chrome window opens, you sign in, and the saved session is then reused by the MCP server: ```bash npm run setup-auth # from a clone (Option 2 above) notebooklm-mcp setup-auth # from a global install (npm i -g @roomi-fields/notebooklm-mcp) ``` Do the login in a terminal rather than by asking the assistant _"log me in"_: some stdio MCP clients (e.g. Claude Desktop) cap tool-call duration and cut off the up-to-10-minute interactive login before you can finish signing in (see [issue #27](https://github.com/roomi-fields/notebooklm-mcp/issues/27)). ### Option 3 β€” Docker (NAS, server, headless) ```bash # 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](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/08-DOCKER.md) for NAS deployment (Synology, QNAP). --- ## Documentation Full docs site: **** Β· [OpenAPI 3.1 spec](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/openapi.yaml) | Guide | Description | | -------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------- | | [Installation](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/01-INSTALL.md) | Step-by-step setup for HTTP and MCP modes | | [Configuration](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/02-CONFIGURATION.md) | Environment variables and security | | [REST API reference](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/03-API.md) | Complete HTTP endpoint documentation (33 endpoints) | | [Run 1 000 questions overnight](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/12-BATCH-1000.md) | Production batch pattern with auto-reauth and rotation | | [**RTFM integration β€” cache as searchable vault**](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/14-RTFM-INTEGRATION.md) | Pipeline pattern: NotebookLM as one-shot ingestion, RTFM as retrieval layer. `/batch-to-vault` endpoint, `nblm-answer-v1` schema. | | [n8n integration](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/04-N8N-INTEGRATION.md) | Workflow automation setup | | [Troubleshooting](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/05-TROUBLESHOOTING.md) | Common issues and solutions | | [Notebook library](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/06-NOTEBOOK-LIBRARY.md) | Multi-notebook management | | [Auto-discovery](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/07-AUTO-DISCOVERY.md) | Autonomous metadata generation | | [Content management](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/10-CONTENT-MANAGEMENT.md) | Audio, video, infographic, report, presentation | | [Multi-account rotation](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/11-MULTI-ACCOUNT.md) | Multiple accounts with TOTP auto-reauth | | [Docker](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/08-DOCKER.md) | Docker and Docker Compose deployment | | [Multi-interface](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/09-MULTI-INTERFACE.md) | Run Claude Desktop + HTTP simultaneously | | [**Compare with PleasePrompto v2.0.0**](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/deployment/docs/13-COMPARE.md) | Feature matrix vs the upstream MCP-only server | | [Chrome profile limitation](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/docs/CHROME_PROFILE_LIMITATION.md) | Profile locking (solved in v1.3.6+) | | [Adding a language](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/docs/ADDING_A_LANGUAGE.md) | i18n system for multilingual UI support | --- ## Roadmap See [ROADMAP.md](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/ROADMAP.md) for planned features and version history. **Latest releases:** - **v3.0.1** β€” Interactive Google login as a first-class CLI command (`notebooklm-mcp setup-auth`) for global / stdio-client installs; `setup_auth` / `re_auth` accept a top-level `headless` (#27) - **v3.0.0** β€” Major refactor: **dual transport** (NotebookLM's internal `batchexecute` RPC API with automatic DOM fallback), 10-100Γ— faster and immune to UI rebrands; **5 new tools** (notebook sharing, study aids, mind maps, source labels, web research) - **v2.3.0** β€” Full support for Google's **"Gemini Notebook" rebrand**: create / list / rename / delete, sources, and every Studio generation type re-verified end-to-end (#23, #21) - **v2.2.1** β€” 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** β€” 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** β€” Thai UI selectors for `notebook_create` (partial, #18) - **v2.1.0** β€” `note_list` and `note_get` MCP tools (#17) - **v2.0.4** β€” German UI selectors (closes #14) - **v2.0.0** β€” 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 β€” 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](https://smithery.ai/servers/roomifields/notebooklm-mcp). - **v1.7.0** β€” `batch_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** β€” `/batch-to-vault` endpoint + RTFM integration (`nblm-answer-v1` JSON Schema published at [schemas.roomi-fields.com/nblm-answer-v1.json](https://schemas.roomi-fields.com/nblm-answer-v1.json)) for caching NotebookLM answers as a searchable markdown vault - **v1.5.8** β€” NotebookLM 2026 UI adaptations (icon-label sanitization, Discussion-panel recovery, count-based source detection) β€” PR #5 by @KhizarJamshaidIqbal - **v1.5.7** β€” Citation extraction selector fix (`.highlighted`) and Docker multi-stage build β€” PR #1 by @JulienCANTONI - **v1.5.6** β€” Citation extraction major rewrite (97% success rate), browser-verified auth at startup, profile auto-sync - **v1.5.0** β€” Complete Studio content generation (video, infographic, presentation, data_table) + Notes management + Delete sources - **v1.4.0** β€” Content management (sources, audio, generation) + Multi-account _Intermediate patch and hardening releases (1.5.x–1.7.x) are in the full [CHANGELOG](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/CHANGELOG.md)._ **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 β€” always review changes before deploying. See full [Disclaimer](#disclaimer-details) below. --- ## Contributing Found a bug? Have an idea? [Open an issue](https://github.com/roomi-fields/notebooklm-mcp/issues) or submit a PR! See [CONTRIBUTING.md](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/CONTRIBUTING.md) for guidelines. ## License MIT β€” Use freely in your projects. See [LICENSE](https://github.com/roomi-fields/notebooklm-mcp/blob/HEAD/LICENSE). ## Author **Romain Peyrichou** β€” [@roomi-fields](https://github.com/roomi-fields) ## Acknowledgments Thanks to everyone who has contributed code, ideas, and bug reports: - **Khizar Jamshaid Iqbal** β€” [@KhizarJamshaidIqbal](https://github.com/KhizarJamshaidIqbal), 2025 UI selector fixes, doctor script, PII scrub - **Kazik Pietka** β€” [@kpietkaa](https://github.com/kpietkaa), `notebook.google.com` rebrand support - **Rui Ruiberriz** β€” [@Excauboi](https://github.com/Excauboi), `hl=` on app URLs + click-through scrape fallback - **[@he0xwhale](https://github.com/he0xwhale)** β€” `note_list` / `note_get` MCP tools - **[@eminsnow](https://github.com/eminsnow)** β€” canonical tool names (`_` over `.`) - **Julien Cantoni** β€” [@JulienCANTONI](https://github.com/JulienCANTONI) ---
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.
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Built with frustration about hallucinated APIs, powered by Google's NotebookLM ⭐ [Star on GitHub](https://github.com/roomi-fields/notebooklm-mcp) if this saves you debugging time!