m4yk3ldev/notebooklm-mcp

Developer tools

이 페이지는 AI로 자동 번역되었습니다. 기술적인 세부 사항은 원문을 확인하세요. 원문 보기

21 stars 5 forks 품질 90 트렌드 24MIT

Repository Install

MCP server for Google NotebookLM — 27 tools for notebooks, sources, research, and studio content generation

개요

Stop jumping between browser tabs. brings the full analytical power of Google NotebookLM directly into your local terminal, IDE, and AI assistants like Claude, Cursor, and VS Code. Manage notebooks, ingest diverse sources, trigger deep research, and generate studio-quality content—all via a single, standardized Model Context Protocol (MCP) interface. The Model Context Protocol is a standard for connecting LLMs to external data sources and tools. This package speaks MCP over stdio — your AI client (Claude Desktop, Cursor, VS Code, etc.) spawns notebooklm-mcp serve as a subprocess and the two communicate over JSON-RPC. The 27 tools below become callable functions in the model's tool list. - ⚡ : Log in once with notebooklm-mcp auth. Our automated CDP-based flow handles secure cookie extraction so you can focus on your data. - 🔄 : Built-in background session restoration. If your session expires, the server transparently reconnects without breaking your workflow.

README

원문 README의 일부입니다. 원문 보기.

🧠 NotebookLM MCP Server

Bridge the Gap Between Google NotebookLM and Your AI Workspace

Stop jumping between browser tabs. NotebookLM MCP brings the full analytical power of Google NotebookLM directly into your local terminal, IDE, and AI assistants like Claude, Cursor, and VS Code.

Manage notebooks, ingest diverse sources, trigger deep research, and generate studio-quality content—all via a single, standardized Model Context Protocol (MCP) interface.

New to MCP? The Model Context Protocol is a standard for connecting LLMs to external data sources and tools. This package speaks MCP over stdio — your AI client (Claude Desktop, Cursor, VS Code, etc.) spawns notebooklm-mcp serve as a subprocess and the two communicate over JSON-RPC. The 27 tools below become callable functions in the model’s tool list.

🔥 Key Capabilities

⚡ Seamless Authentication: Log in once with notebooklm-mcp auth. Our automated CDP-based flow handles secure cookie extraction so you can focus on your data.
🔄 Resilient Connectivity: Built-in background session restoration. If your session expires, the server transparently reconnects without breaking your workflow.
📂 Universal Ingestion: Instantly add URLs, YouTube transcripts, Google Drive files, or raw text snippets to any notebook.
🕵️ Autonomous Research: Harness Google’s Deep Research engine. Start a task, poll its progress, and import structured insights directly into your project.
🎭 Creative Studio: Programmatically generate Audio Overviews (podcasts), Briefing Docs, Infographics, Slide Decks, and Quizzes from your sources.

🚀 Quick Start

1. Installation

Requires Node.js ≥ 20 and Google Chrome or Chromium (for auth).

Run it instantly with npx:

npx -y @m4ykeldev/notebooklm-mcp serve

Or install globally for better performance:

npm install -g @m4ykeldev/notebooklm-mcp

Developers who want to hack on the source: this repo uses pnpm (pinned via packageManager in package.json). After cloning, run corepack enable && pnpm install. See CONTRIBUTING.md on GitHub for the full dev / release flow.

Say goodbye to manual cookie hunting. Our smart auth flow does the heavy lifting for you.

notebooklm-mcp auth

GitHub에서 전체 README 보기

설치

npx -y @m4ykeldev/notebooklm-mcp serve

MCP 초보자라면? mcpskill.org 가이드부터 시작하세요 →

설정

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["-y", "@m4ykeldev/notebooklm-mcp", "serve"]
    }
  }
}