What is notebooklm-mcp-archived GEMINI.md?

Project instructions for notebooklm-mcp-archived, an MCP server that gives AI agents and developers programmatic access to Google NotebookLM notebooks, their sources, and query features. NotebookLM is Google's tool for working with source material and asking questions about it.

They help developers install and configure the server with Python, uv, Chrome, and Google account cookies.

They collect the project's setup requirements, installation steps, and authentication guidance in one place.

How set2374/notebooklm-mcp-archived configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to set2374/notebooklm-mcp-archived. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/set2374/notebooklm-mcp-archived/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/set2374/notebooklm-mcp-archived

Made for: Gemini CLI.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/set2374/notebooklm-mcp-archived/gemini-md.svg)](https://agentmods.dev/instructions/set2374/notebooklm-mcp-archived/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/set2374/notebooklm-mcp-archived/gemini-md"><img src="https://agentmods.dev/badge/instructions/set2374/notebooklm-mcp-archived/gemini-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 725 This file is loaded in full into every session.

When invoked 725 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00725	$0.00725
Opus 5	$0.00362	$0.00362
Sonnet 5	$0.00145	$0.00145
Haiku 4.5	$0.00072	$0.00072

Measured 8d ago against content hash e2d22d719d4a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

notebooklm-mcp-archived 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 8d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

Notebooklm-mcp GEMINI.md — 100% identical, 0 lines differ

GEMINI.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI.md

Project Overview

NotebookLM MCP Server

This project implements a Model Context Protocol (MCP) server that provides programmatic access to NotebookLM. It allows AI agents and developers to interact with NotebookLM notebooks, sources, and query capabilities.

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 (for automated authentication)

Installation

From PyPI (Recommended):

uv tool install notebooklm-mcp-server
# or: pip install notebooklm-mcp-server

From Source (Development):

git clone https://github.com/YOUR_USERNAME/notebooklm-mcp.git
cd notebooklm-mcp
uv tool install .

Authentication (Simplified!)

You only need to extract cookies - the CSRF token and session ID are now auto-extracted when the MCP starts.

Option 1: Chrome DevTools MCP (Recommended) If your AI assistant has Chrome DevTools MCP:

Navigate to notebooklm.google.com
Get cookies from any network request
Call save_auth_tokens(cookies=<cookie_header>)

Option 2: Manual (Environment Variables) Extract the Cookie header from Chrome DevTools Network tab:

export NOTEBOOKLM_COOKIES="SID=xxx; HSID=xxx; SSID=xxx; ..."

Note: CSRF token and session ID are no longer needed - they are auto-extracted from the page HTML when the MCP initializes.

Cookies last for weeks. When they expire, re-extract fresh cookies.

Development Workflow

Building and Running

Reinstalling after changes: Because uv tool install installs into an isolated environment, you must reinstall to see changes during development.

uv cache clean
uv tool install --force .

Running the Server:

notebooklm-mcp

Read the full file on GitHub · 97 lines

Changes

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.

8d ago First seen · 97 lines · 725 tokens per session scan A e2d22d719d4a

Subscribe to this mod's changes

notebooklm-mcp-archived GEMINI.md is an instructions file published in the GitHub repository set2374/notebooklm-mcp-archived (6 stars, last pushed 8mo ago), licensed MIT. It adds 725 tokens to every session, about $0.0036 per session on Opus 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 2026-08-31.

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notebooklm-mcp-archived: Instructions file for Gemini CLI