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.
curl -O https://raw.githubusercontent.com/set2374/notebooklm-mcp-archived/main/CLAUDE.mdgit clone --depth 1 https://github.com/set2374/notebooklm-mcp-archivedWrote 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/set2374/notebooklm-mcp-archived/claude-md)<a href="https://agentmods.dev/instructions/set2374/notebooklm-mcp-archived/claude-md"><img src="https://agentmods.dev/badge/instructions/set2374/notebooklm-mcp-archived/claude-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/set2374/notebooklm-mcp-archived/claude-md"><img src="https://agentmods.dev/badge/instructions/set2374/notebooklm-mcp-archived/claude-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 | $0.01775 | $0.01775 |
| Opus 5 | $0.00888 | $0.00888 |
| Sonnet 5 | $0.00355 | $0.00355 |
| Haiku 4.5 | $0.00178 | $0.00178 |
Grade A, and why
notebooklm-mcp-archived CLAUDE.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 9d 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 CLAUDE.md — 100% identical, 0 lines differ
- notebooklm-mcp CLAUDE.md — 95% identical, 11 lines differ
- notebooklm-mcp CLAUDE.md — 95% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
NotebookLM MCP Server - Provides programmatic access to NotebookLM (notebooklm.google.com) using internal APIs.
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
notebooklm-mcp
# 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://notebooklm.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) |
Token Expiration
- Cookies: Stable for weeks, but some rotate on each request
- CSRF token: Auto-refreshed on each client initialization
- Session ID: Auto-refreshed on each client initialization
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.
- 9d ago First seen · 216 lines · 1,775 tokens per session scan A 92517653aa7a
notebooklm-mcp-archived CLAUDE.md is an instructions file published in the GitHub repository set2374/notebooklm-mcp-archived (6 stars, last pushed 8mo ago), licensed MIT. It adds 1,775 tokens to every session, about $0.0089 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
vibe-coding-prompt-template backend.instructions.md
Instructions for KhazP/vibe-coding-prompt-template: Read AGENTS.md, agentdocs/techstack.md, and agentdocs/codepatterns.md.
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.