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/jacob-bd/gemini-notebook-mcp-cli/agents-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/agents-md)<a href="https://agentmods.dev/instructions/jacob-bd/gemini-notebook-mcp-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/jacob-bd/gemini-notebook-mcp-cli/agents-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 | $0.02585 | $0.02585 |
| Opus 5 | $0.01293 | $0.01293 |
| Sonnet 5 | $0.00517 | $0.00517 |
| Haiku 4.5 | $0.00259 | $0.00259 |
Grade A, and why
gemini-notebook-mcp-cli AGENTS.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 4d 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
5 near-identical copies found in the catalogue:
- notebooklm-mcp-cli AGENTS.md — 88% identical, 19 lines differ
- notebooklm-mcp-fork AGENTS.md — 88% identical, 19 lines differ
- gemini-notebook-mcp-cli CLAUDE.md — 88% identical, 41 lines differ
- notebooklm-mcp-fork CLAUDE.md — 84% identical, 53 lines differ
- notebooklm-mcp-cli CLAUDE.md — 84% identical, 53 lines differ
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
Project Overview
Gemini Notebook (formerly Google NotebookLM) MCP Server & CLI - Provides programmatic access to Gemini Notebook (notebook.google.com) via both a Model Context Protocol server and a comprehensive command-line interface.
Tested with personal/free tier accounts. May work with Google Workspace accounts but has not been tested.
Development Commands
# Install dependencies
uv tool install .
# Reinstall after code changes (ALWAYS clean cache first)
uv cache clean && uv tool install --force .
# Run the MCP server (stdio)
notebooklm-mcp
# Run with Debug logging
notebooklm-mcp --debug
# Run as HTTP server
notebooklm-mcp --transport http --port 8000
# Run tests
uv run pytest
# Run a single test
uv run pytest tests/test_file.py::test_function -v
Python requirement: >=3.11
Authentication (SIMPLIFIED!)
You only need to provide COOKIES! The CSRF token and session ID are now automatically extracted when needed.
Method 1: Chrome DevTools MCP (Recommended)
Option A - Fast (Recommended): Extract CSRF token and session ID directly from network request - no page fetch needed!
# 1. Navigate to NotebookLM page
navigate_page(url="https://notebook.google.com/")
# 2. Get a batchexecute request (any NotebookLM API call)
get_network_request(reqid=<any_batchexecute_request>)
# 3. Save with all three fields from the network request:
save_auth_tokens(
cookies=<cookie_header>,
request_body=<request_body>, # Contains CSRF token
request_url=<request_url> # Contains session ID
)
Option B - Minimal (slower first call): Save only cookies, tokens extracted from page on first API call
save_auth_tokens(cookies=<cookie_header>)
Method 2: Environment Variables
| Variable | Required | Description |
|---|---|---|
NOTEBOOKLM_COOKIES |
Yes | Full cookie header from Chrome DevTools |
NOTEBOOKLM_CSRF_TOKEN |
No | (DEPRECATED - auto-extracted) |
NOTEBOOKLM_SESSION_ID |
No | (DEPRECATED - auto-extracted) |
NOTEBOOKLM_BL |
No | Override for build label / bl URL param (auto-extracted from page) |
NOTEBOOKLM_HL |
No | Interface language and default artifact language (default: en) |
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.
- 4d ago First seen · 270 lines · 2,585 tokens per session scan A b731df788003
gemini-notebook-mcp-cli AGENTS.md is an instructions file published in the GitHub repository jacob-bd/gemini-notebook-mcp-cli (6,005 stars, last pushed 7d ago), licensed MIT. It adds 2,585 tokens to every session, about $0.0129 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 2026-08-30.
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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 oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.