Borrowing it
Nothing to install: this file belongs to Morfeu333/notebooklm-mcp. 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/Morfeu333/notebooklm-mcp/main/GEMINI.mdgit clone --depth 1 https://github.com/Morfeu333/notebooklm-mcpWrote 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/morfeu333/notebooklm-mcp/gemini-md)<a href="https://agentmods.dev/instructions/morfeu333/notebooklm-mcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/morfeu333/notebooklm-mcp/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 | $0.00914 | $0.00914 |
| Opus 5 | $0.00457 | $0.00457 |
| Sonnet 5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00091 | $0.00091 |
Grade A, and why
notebooklm-mcp 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 6d 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
1 near-identical copy found in the catalogue:
- notebooklm-mcp GEMINI.md — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 121 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
Preferred: Run the automated authentication CLI:
notebooklm-mcp-auth
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 notebooklm-mcp-auth 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=...)
Environment variable (advanced):
export NOTEBOOKLM_COOKIES="SID=xxx; HSID=xxx; SSID=xxx; ..."
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.
- 6d ago First seen · 121 lines · 914 tokens per session scan A 007eb9612bdb
notebooklm-mcp GEMINI.md is an instructions file published in the GitHub repository Morfeu333/notebooklm-mcp (1 stars, last pushed 6mo ago), licensed MIT. It adds 914 tokens to every session, about $0.0046 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.
Other instructions, from other repositories
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.
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.
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).
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).
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.
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.