Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/whmathews15/notebooklm-mcp-cli/gemini-mdgit clone --depth 1 https://github.com/whmathews15/notebooklm-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/whmathews15/notebooklm-mcp-cli/gemini-md)<a href="https://agentmods.dev/instructions/whmathews15/notebooklm-mcp-cli/gemini-md"><img src="https://agentmods.dev/badge/instructions/whmathews15/notebooklm-mcp-cli/gemini-md.svg" alt="Measured on agentmods" 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 | $0.01485 | $0.01485 |
| Opus 5 | $0.00743 | $0.00743 |
| Sonnet 5 | $0.00297 | $0.00297 |
| Haiku 4.5 | $0.00148 | $0.00148 |
Grade A, and why
notebooklm-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 5d 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.
This is a copy
94% identical to gemini-notebook-mcp-cli GEMINI.md — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md
Project Overview
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 NotebookLM. It allows AI agents, developers, and power users to interact with NotebookLM 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 (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 notebooklm.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.
- 5d ago First seen · 141 lines · 1,485 tokens per session scan A 5b48def3f526
notebooklm-mcp-cli GEMINI.md is an instructions file published in the GitHub repository whmathews15/notebooklm-mcp-cli (1 stars, last pushed 2mo ago), licensed MIT. It adds 1,485 tokens to every session, about $0.0074 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to gemini-notebook-mcp-cli GEMINI.md, differing in 8 lines, and is treated as a copy.
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