Notebooklm Codex
БесплатноНе проверенEnables Codex to interact with Google NotebookLM, allowing it to list notebooks, add sources, ask questions, and generate audio overviews.
Описание
Enables Codex to interact with Google NotebookLM, allowing it to list notebooks, add sources, ask questions, and generate audio overviews.
README
Use Google NotebookLM from Codex through a local MCP connector.
This repo wraps the unofficial notebooklm-py command-line tool as an MCP server, so Codex can list notebooks, switch notebooks, inspect sources, ask questions, and add sources without relying on ad hoc shell commands.
What This Enables
- List your NotebookLM notebooks from Codex
- Switch the active NotebookLM notebook
- Check NotebookLM authentication
- List notebook sources and generated artifacts
- Ask a notebook questions
- Add URLs, YouTube links, PDFs, docs, and other files as sources
- Trigger audio overview generation
- Install a Codex skill that teaches Codex when and how to use NotebookLM
Use Cases
- Ask Codex to query a research notebook before answering a strategy question
- Build a project research notebook from URLs, PDFs, or YouTube videos
- Turn a NotebookLM notebook into an audio overview
- Inspect whether shared notebooks are accessible
- Use NotebookLM as a second brain for business, research, content, or sales strategy
- Give Codex repeatable access to NotebookLM without pasting Google cookies into prompts
Architecture
Codex
-> MCP stdio connector
-> local Python server in this repo
-> notebooklm-py CLI
-> Google NotebookLM
Your Google credentials stay on your Mac in the notebooklm-py local auth profile. The MCP server calls the local CLI; it does not store Google cookies or tokens in this repo.
Requirements
- macOS or Linux
- Python 3.10+
- Codex with custom MCP server support
- A Google account with NotebookLM access
notebooklm-pyinstalled and authenticated locally
Step 1: Install And Authenticate NotebookLM CLI
Install notebooklm-py in a virtual environment:
python3 -m venv ~/.notebooklm-venv
source ~/.notebooklm-venv/bin/activate
pip install "notebooklm-py[browser]"
playwright install chromium
mkdir -p ~/bin
ln -sf ~/.notebooklm-venv/bin/notebooklm ~/bin/notebooklm
export PATH="$HOME/bin:$PATH"
notebooklm --help
Authenticate:
notebooklm login
notebooklm auth check
notebooklm list
If notebooklm login does not work in your terminal environment, use the browser-auth flow documented in the bundled Codex skill reference:
codex-skill/notebooklm/references/notebooklm-cli-and-mcp.md
Step 2: Install This MCP Connector
Clone this repo:
git clone https://github.com/knowingdoing/notebooklm-codex.git
cd notebooklm-codex
Create the connector environment:
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Smoke test:
NOTEBOOKLM_BIN="$(command -v notebooklm)" \
.venv/bin/python -c "from notebooklm_mcp.server import run_cli; print(run_cli('auth', 'check'))"
You should see Authentication is valid.
Step 3: Add The MCP Server To Codex
Open your Codex config:
open ~/.codex/config.toml
Add this block, replacing /absolute/path/to/notebooklm-codex with the actual cloned repo path:
[mcp_servers.notebooklm]
command = "/absolute/path/to/notebooklm-codex/.venv/bin/python"
args = ["/absolute/path/to/notebooklm-codex/notebooklm_mcp/server.py"]
startup_timeout_sec = 30
[mcp_servers.notebooklm.env]
NOTEBOOKLM_BIN = "/Users/YOUR_USER/bin/notebooklm"
Restart Codex after editing the config.
Step 4: Test In Codex
In a new Codex thread, ask:
Use $notebooklm to list my NotebookLM notebooks.
Or:
List my NotebookLM notebooks and open the one called Client Retention.
Available MCP Tools
| Tool | Purpose |
|---|---|
notebooklm_auth_check |
Check local NotebookLM authentication |
notebooklm_list |
List notebooks |
notebooklm_status |
Show the active notebook |
notebooklm_use |
Set the active notebook |
notebooklm_source_list |
List sources in the active notebook |
notebooklm_source_add |
Add a URL, YouTube URL, or local file source |
notebooklm_ask |
Ask the active notebook a question |
notebooklm_artifact_list |
List generated artifacts |
notebooklm_generate_audio |
Generate an audio overview |
Example Prompts
Use $notebooklm to list my notebooks.
Use $notebooklm to open my Client Retention notebook and list its sources.
Use $notebooklm to ask my Eric Siu Single Brain notebook: what are the major themes?
Use $notebooklm to create a NotebookLM notebook for this research and add these URLs as sources.
Use $notebooklm to generate an audio overview from the active notebook.
Optional: Install The Codex Skill
This repo includes a Codex skill at:
codex-skill/notebooklm
Install it into your Codex skills folder:
cp -R codex-skill/notebooklm ~/.codex/skills/notebooklm
Restart Codex after installing the skill.
The skill helps Codex recognize NotebookLM-related requests and choose the right workflow.
Notes And Limits
- This uses the unofficial
notebooklm-pypackage. - Google can change NotebookLM behavior without notice.
- Generation actions can take minutes and may hit Google rate limits.
- This connector runs locally. Your Mac must be online and authenticated.
- Do not commit Google cookies, browser profiles, or local auth files.
Security
Credentials are handled by notebooklm-py on your machine. This repo does not require storing NotebookLM cookies, Google tokens, or account credentials in source control.
For shared machines, review your local NotebookLM auth profile before exposing the connector to other tools.
Установка Notebooklm Codex
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/knowingdoing/notebooklm-codexFAQ
Notebooklm Codex MCP бесплатный?
Да, Notebooklm Codex MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Notebooklm Codex?
Нет, Notebooklm Codex работает без API-ключей и переменных окружения.
Notebooklm Codex — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Notebooklm Codex в Claude Desktop, Claude Code или Cursor?
Открой Notebooklm Codex на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Omni Video
An MCP server that transforms LLM-enabled IDEs into professional video editors by pre-processing footage into text proxies, generating motion graphics via HTML/
автор: buildwithtazaARA
Generate images, video and audio from any AI agent — one connector.
автор: ARAYouTube
Transcripts, channel stats, search
автор: YouTubeEverArt
AI image generation using various models.
автор: modelcontextprotocolCompare Notebooklm Codex with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории media
