What is notebooklm-mcp CLAUDE.md?

Repository instructions for developing notebooklm-mcp, an MCP server that connects AI assistants to Google NotebookLM's internal interface.

Installing dependencies with pnpm, building and watching the server, running tests, using its command-line actions, and preparing releases.

They document the exact dependency, build, test, development, and release checks needed for this TypeScript project.

How m4yk3ldev/notebooklm-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to m4yk3ldev/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.

Copy the file

curl -O https://raw.githubusercontent.com/m4yk3ldev/notebooklm-mcp/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/m4yk3ldev/notebooklm-mcp

Made for: Claude Code.

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/instructions/m4yk3ldev/notebooklm-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/m4yk3ldev/notebooklm-mcp/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/m4yk3ldev/notebooklm-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/m4yk3ldev/notebooklm-mcp/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.

Your own site · 80×15

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Per session 2,213 This file is loaded in full into every session.

When invoked 2,213 The same file — it is already loaded in full.

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	$0.02213	$0.02213
Opus 5.5	$0.00885	$0.00885
Sonnet 5.5	$0.00443	$0.00443
Haiku 4.5	$0.00221	$0.00221

Measured 16d ago against content hash 078951092bd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebooklm-mcp 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 16d 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.

CLAUDE.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 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.

Commands

# Install dependencies (pnpm pinned via packageManager field)
corepack enable
pnpm install

# Build (outputs to dist/)
pnpm run build

# Watch mode for development
pnpm run dev

# Run the built CLI directly
node dist/cli.js serve
node dist/cli.js auth

# Run the test suite (vitest + MSW)
pnpm test

# Release flow
make release        # local bump + tag
make release-push   # supply-chain audit then push (publishes via CI on tag)
make pre-release    # standalone audit

TypeScript strict mode is the primary quality gate — fix all type errors before building. CI runs pnpm test before publishing to NPM.

Architecture

This is an MCP (Model Context Protocol) server that bridges AI assistants to Google NotebookLM's internal batchexecute RPC API.

Data Flow

MCP Client (Claude/Cursor/VS Code)
  → stdio transport
  → McpServer (src/server.ts)
  → Tool handler (src/tools/*.ts)
  → NotebookLMClient (src/client.ts)  ── domain facade ──┐
        composes:                                        │
          AuthState     (src/rpc/auth-state.ts)          │
          RpcTransport  (src/rpc/transport.ts) ──────────┤
          wire helpers  (src/rpc/wire.ts)                │
  → Google batchexecute RPC endpoint  ◀──────────────────┘

Key Files

File	Role
`src/cli.ts`	Entry point; defines `serve` and `auth` CLI commands
`src/server.ts`	Creates `McpServer`, wires tools to a lazily-initialized `NotebookLMClient`
`src/client.ts`	`NotebookLMClient` — thin domain facade that composes the `rpc/*` modules. Public surface for tools.
`src/rpc/transport.ts`	`RpcTransport` — HTTP POST/GET, `response.ok` enforcement, Set-Cookie merge, abort-bound body read; `fetchLandingHtml` returns `{ html, url }` (final URL after redirects)
`src/rpc/auth-state.ts`	`AuthState` — tokens / csrf / session id state, single-flight refresh mutex, disk reload
`src/rpc/wire.ts`	Pure parsers — `parseResponse` (batchexecute envelope), `extractTextFromBlocks` (source content incl. tables), `sourceTypeCode`, and the studio parsers `studioArtifactId` / `studioTypeName` / `studioDownloadUrl`
`src/auth.ts`	Token load/save, cookie validation, manual auth flow
`src/browser-auth.ts`	Chrome CDP-based automated cookie extraction (OS-assigned port, loopback bind)
`src/constants.ts`	All `RPC_IDS`, CodeMapper enums, timeouts, URLs
`src/types.ts`	Shared TypeScript interfaces (`AuthTokens`, `Notebook`, etc.)
`src/tools/index.ts`	`McpTool<T>` interface, `registerTools()`, `resolveSourceIds()`, `clientResetSignal()`
`src/tools/*.ts`	Tool implementations grouped by domain (notebook, source, studio, query, research, auth)

Read the full file on GitHub · 132 lines

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.

16d ago Changed · +5 lines · +324 tokens per session 078951092bd0
18d ago Changed · +8 lines · +474 tokens per session 0cd96f59eea4
2mo ago First seen · 119 lines · 1,415 tokens per session scan A 1381d98f9f01

Subscribe to this mod's changes

notebooklm-mcp CLAUDE.md is an instructions file published in the GitHub repository m4yk3ldev/notebooklm-mcp (22 stars, last pushed 17d ago), licensed MIT. It adds 2,213 tokens to every session, about $0.0089 per session on Opus 5.5. 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.

Building agents ai google mcp mcp-server model-context-protocol notebooklm

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notebooklm-mcp: Instructions file for Claude Code