NotebookLM MCP Server connects AI coding assistants directly to Google's NotebookLM knowledge base, enabling zero-hallucination research on your documentation with citation-backed answers synthesized by Gemini. Key features: - Direct integration between CLI agents (Claude Code, Cursor, Codex) and NotebookLM - Persistent authentication and local library management for organizing notebooks - Cross-client sharing of NotebookLM resources - Grounded responses with citations from uploaded documents - Automatic follow-up sequencing for deep research on implementation details and edge cases

NotebookLM MCP Server

Let your CLI agents (Claude, Cursor, Codex...) chat directly with NotebookLM for zero-hallucination answers based on your own notebooks

[](https://www.typescriptlang.org/) [](https://modelcontextprotocol.io/) [](https://www.npmjs.com/package/notebooklm-mcp) [](https://github.com/PleasePrompto/notebooklm-skill) [](https://github.com/PleasePrompto/notebooklm-mcp)

Installation • Quick Start • Why NotebookLM • Examples • Claude Code Skill • Documentation

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The Problem

When you tell Claude Code or Cursor to "search through my local documentation", here's what happens:

The Solution

Let your local agents chat directly with NotebookLM — Google's zero-hallucination knowledge base powered by Gemini 2.5 that provides intelligent, synthesized answers from your docs.

Your Task → Local Agent asks NotebookLM → Gemini synthesizes answer → Agent writes correct code

The real advantage: No more manual copy-paste between NotebookLM and your editor. Your agent asks NotebookLM directly and gets answers straight back in the CLI. It builds deep understanding through automatic follow-ups — Claude asks multiple questions in sequence, each building on the last, getting specific implementation details, edge cases, and best practices. You can save NotebookLM links to your local library with tags and descriptions, and Claude automatically selects the relevant notebook based on your current task.

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Why NotebookLM, Not Local RAG?

| Approach | Token Cost | Setup Time | Hallucinations | Answer Quality | |----------|------------|------------|----------------|----------------| | Feed docs to Claude | 🔴 Very high (multiple file reads) | Instant | Yes - fills gaps | Variable retrieval | | Web search | 🟡 Medium | Instant | High - unreliable sources | Hit or miss | | Local RAG | 🟡 Medium-High | Hours (embeddings, chunking) | Medium - retrieval gaps | Depends on setup | | NotebookLM MCP | 🟢 Minimal | 5 minutes | Zero - refuses if unknown | Expert synthesis |

What Makes NotebookLM Superior?

1. Pre-processed by Gemini: Upload docs once, get instant expert knowledge 2. Natural language Q&A: Not just retrieval — actual understanding and synthesis 3. Multi-source correlation: Connects information across 50+ documents 4. Citation-backed: Every answer includes source references 5. No infrastructure: No vector DBs, embeddings, or chunking strategies needed

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Installation

Claude Code

claude mcp add notebooklm npx notebooklm-mcp@latest

Codex

codex mcp add notebooklm -- npx notebooklm-mcp@latest

Gemini

gemini mcp add notebooklm npx notebooklm-mcp@latest

Cursor

Add to ~/.cursor/mcp.json:

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

amp

amp mcp add notebooklm -- npx notebooklm-mcp@latest

VS Code

code --add-mcp '{"name":"notebooklm","command":"npx","args":["notebooklm-mcp@latest"]}'

Other MCP clients

Generic MCP config:

{
  "mcpServers": {
    "notebooklm": {
      "command": "npx",
      "args": ["notebooklm-mcp@latest"]
    }
  }
}

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Alternative: Claude Code Skill

Prefer Claude Code Skills over MCP? This server is now also available as a native Claude Code Skill with a simpler setup:

NotebookLM Claude Code Skill - Clone to ~/.claude/skills and start using immediately

Key differences:

Both use the same browser automation technology and provide zero-hallucination a