gemini-notebook-mcp-cli provides programmatic access to Gemini Notebook through a command-line interface and a Model Context Protocol server. It is for scripts, desktop applications, and AI agents that need to work with Gemini Notebook notebooks. The catalogue contains instructions and a skill for using it.
Borrowing it
Nothing to install: this file belongs to jacob-bd/gemini-notebook-mcp-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jacob-bd/gemini-notebook-mcp-cli/main/GEMINI.mdgit clone --depth 1 https://github.com/jacob-bd/gemini-notebook-mcp-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/jacob-bd/gemini-notebook-mcp-cli/gemini-md)<a href="https://agentmods.dev/instructions/jacob-bd/gemini-notebook-mcp-cli/gemini-md"><img src="https://agentmods.dev/badge/instructions/jacob-bd/gemini-notebook-mcp-cli/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jacob-bd/gemini-notebook-mcp-cli/gemini-md"><img src="https://agentmods.dev/badge/instructions/jacob-bd/gemini-notebook-mcp-cli/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01697 | $0.01697 |
| Opus 5.5 | $0.00679 | $0.00679 |
| Sonnet 5.5 | $0.00339 | $0.00339 |
| Haiku 4.5 | $0.00170 | $0.00170 |
Grade A, and why
gemini-notebook-mcp-cli GEMINI.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- notebooklm-mcp-fork GEMINI.md — 94% identical, 16 lines differ
- notebooklm-mcp-cli GEMINI.md — 94% identical, 16 lines differ
- notebooklm-mcp-cli GEMINI.md — 94% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md
Project Overview
Gemini Notebook (formerly Google NotebookLM) MCP Server & CLI
This project implements a Model Context Protocol (MCP) server and a full-featured Command Line Interface (CLI) that provides programmatic access to Gemini Notebook. It allows AI agents, developers, and power users to interact with Gemini Notebook notebooks, sources, query capabilities, and download generated artifacts (Audio, Video, PDF, etc.).
Tested with personal/free tier accounts. May work with Google Workspace accounts but has not been tested. This project relies on internal APIs (batchexecute RPCs).
Environment & Setup
The project uses uv for dependency management and tool installation.
Prerequisites
- Python 3.11+
uv(Universal Python Package Manager)- Google Chrome or Firefox (for automated authentication)
Installation
From PyPI (Recommended):
uv tool install notebooklm-mcp-cli
# or: pip install notebooklm-mcp-cli
From Source (Development):
git clone https://github.com/YOUR_USERNAME/notebooklm-mcp.git
cd notebooklm-mcp
uv tool install .
Authentication
Preferred: Run the automated authentication CLI:
nlm login
This launches Chrome, you log in, and cookies are extracted automatically. Your login is saved to a Chrome profile for future use.
Auto-refresh (v0.1.9+): The server now automatically handles token expiration:
- Refreshes CSRF tokens on expiry (immediate)
- Reloads cookies from disk if updated externally
- Runs headless Chrome auth if profile has saved login
If headless auth fails (Google login fully expired), you'll see a message to run nlm login again.
Explicit refresh (MCP tool):
refresh_auth() # Reload tokens from disk or run headless auth
Fallback: Manual extraction (if CLI fails) If the automated tool doesn't work, extract cookies via Chrome DevTools:
- Open Chrome DevTools on notebook.google.com
- Go to Network tab, find a batchexecute request
- Copy the Cookie header and call
save_auth_tokens(cookies=...)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 23d ago Changed · +5 lines · +156 tokens per session 3326482f926f
- 26d ago Changed · +1 lines · +48 tokens per session afdd0de10607
- 1mo ago First seen · 141 lines · 1,493 tokens per session scan A 509cf6e2ad30
gemini-notebook-mcp-cli GEMINI.md is an instructions file published in the GitHub repository jacob-bd/gemini-notebook-mcp-cli (6,388 stars, last pushed yesterday), licensed MIT. It adds 1,697 tokens to every session, about $0.0068 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.