What is notebooklm-assistant?

A guide for using Google NotebookLM through its MCP server, a connection that lets an AI assistant work with NotebookLM. NotebookLM is Google's tool for asking questions about supplied documents and creating study materials from them.

Use it to create or manage notebooks, add and read sources, run research, ask questions about documents, and create items such as audio overviews or flashcards.

It explains how to perform NotebookLM tasks and handle its source, research, chat, and generated-material workflows without guessing the available operations.

notebooklm-assistant — Skill for Claude Code by gfsaaser24

Install

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.

Any agent

npx skills add gfsaaser24/notebooklm-cowork --skill notebooklm-assistant

Clone the repo

git clone --depth 1 https://github.com/gfsaaser24/notebooklm-cowork

Made for: Claude Code.

Or install notebooklm-cowork, the plugin that ships this one along with the rest of its 1 skill, 5 commands, 1 MCP server.

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/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant/github.svg)](https://agentmods.dev/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant)

Your own site

<a href="https://agentmods.dev/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant"><img src="https://agentmods.dev/badge/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant"><img src="https://agentmods.dev/badge/skills/gfsaaser24/notebooklm-cowork/notebooklm-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,606 The whole file, excluding the scripts and references it only reads on demand.

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	$0.00129	$0.02606
Opus 5	$0.00064	$0.01303
Sonnet 5	$0.00026	$0.00521
Haiku 4.5	$0.00013	$0.00261

Measured 11d ago against content hash a53f08f13827, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

notebooklm-assistant 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 11d 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.

skills/notebooklm-assistant/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM Assistant

Guide for using the NotebookLM MCP server tools. The server exposes 39 tools across notebooks, sources, chat, research, studio artifacts, sharing, and more.

Updated for notebooklm-mcp-cli v0.7.7 (June 19, 2026). See "What's new in v0.7.x" below.

What's new in v0.7.x (since the v0.7.1 docs)

Research auto-import [v0.7.4]. research_status(..., auto_import=True) imports discovered sources into the notebook on completion, so you no longer get an empty notebook shell. With auto_import=False (default) the response carries a next_action hint giving the exact research_import call to run. Deep-research polling default raised to 15 minutes (max_wait=900).
Faster Drive listing [v0.7.6 / v0.7.4]. source_list_drive(..., skip_freshness=True) skips the per-source freshness API call on large notebooks. Freshness checks that do run are now parallelized (8 workers) and degrade gracefully (stale: null) on a single-source failure.
Reliable source content right after add [v0.7.2]. source_get_content now polls NotebookLM indexing states with backoff, so reads immediately after source_add succeed instead of returning a processing/empty result.
Studio fast-track + cinematic video [v0.7.0]. Agents infer format, style, and prompt and generate immediately; guided preview is reserved for vague or high-stakes requests. video_format=cinematic is supported (drive it through focus_prompt).
Auth health checks [v0.7.0–v0.7.2]. Multi-probe health checker distinguishes stale (truly expired, re-auth) from unverified (transient network blip, do not re-auth). server_info, refresh_auth, and studio_create now share one auth gate, so they no longer disagree on semi-stale sessions. Result is cached 30s.
RPC resilience [v0.7.4]. NOTEBOOKLM_RPC_OVERRIDES env var, RPCDriftError on RPC rotation, and backoff retry on throttling. Restart the server after setting overrides.
SOCKS proxy support [v0.7.7]. ALL_PROXY with socks5 / socks5h works (the new socksio dependency). A remote MCP deployment guide was added for Claude web/mobile connectors.
Reverted, do not use: the v0.7.2 ChatGPT file/artifact bridges and the /artifacts/{filename} route were rolled back in v0.7.3 for an SSRF and disk-leak issue.

Read the full file on GitHub · 179 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/tools-complete.md 13 KB

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.

11d ago First seen · 179 lines · 129 tokens per session scan A a53f08f13827

Subscribe to this mod's changes

notebooklm-assistant is a skill published in the GitHub repository gfsaaser24/notebooklm-cowork (10 stars, last pushed 2mo ago), licensed MIT. It adds 129 tokens to every session and 2,606 once invoked, about $0.0006 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.

Research

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens