NotebookLM MCP Servers

Compare NotebookLM MCP servers that let agents query Google NotebookLM, retrieve source-grounded answers, and use notebook knowledge from MCP clients.

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NotebookLM Web Importer

Import web pages and YouTube videos to NotebookLM with one click. Trusted by 200,000+ users.

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Matching MCP servers

Pulled from the existing MCP Servers directory with no separate topic database.

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notebooklm MCP
Chat with Google NotebookLM via MCP or HTTP REST API for zero-hallucination answers from your docs. Perfect for n8n workflows and automation.
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notebooklm-mcp-cli
Programmatic access to Google NotebookLM — via command-line interface (CLI) or Model Context Protocol (MCP) server.
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notebooklm-mcp-secure
Security-hardened NotebookLM MCP with post-quantum encryption, GDPR/SOC2 compliance, and 14 security layers. Query Google's Gemini-grounded research from any MCP-compatible AI assistant.
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Notebooklm mcp server
Let your AI agents chat directly with Google NotebookLM for zero-hallucination answers.
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NotebookLM MCP Server
Let your CLI agents (Claude, Cursor, Codex...) chat directly with NotebookLM for zero-hallucination answers based on your own notebooks
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NotebookLM Connector
[Claude Code Plugin] Query Google NotebookLM directly from Claude Code via Chrome browser automation — get source-grounded, citation-backed answers with automatic follow-up analysis, all without leaving your terminal.
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Where NotebookLM MCP fits

Let MCP-compatible agents ask questions against NotebookLM notebooks without leaving a coding or automation client.

Use source-grounded NotebookLM answers while drafting research notes, support material, implementation plans, or summaries.

Connect NotebookLM knowledge to CLI agents, browser-driven workflows, and automation tools such as n8n.

Setup checklist

  1. 1Choose a NotebookLM MCP server based on whether you need CLI access, browser automation, REST API support, or automation workflows.
  2. 2Follow the server setup instructions for Google account access, Chrome session requirements, or local credentials.
  3. 3Add the command or endpoint to your MCP client configuration.
  4. 4Test with a small notebook query and confirm the response includes the source grounding or citations your workflow expects.

How to choose

  • Check whether the server uses a Google NotebookLM session, browser automation, a CLI wrapper, or an HTTP API bridge.
  • Prefer tools that preserve NotebookLM sources, citations, and notebook boundaries clearly.
  • Review credential handling, local browser requirements, privacy claims, and whether the project is actively maintained.

NotebookLM MCP FAQ

What is NotebookLM MCP?

NotebookLM MCP connects an MCP-compatible AI client to Google NotebookLM so an agent can query notebook-based knowledge and return source-grounded answers.

Is there an official NotebookLM MCP server?

The listed NotebookLM MCP servers are community projects. Review each repository for its access method, maintenance status, and security model before using it with private notebooks.

How is NotebookLM MCP different from general knowledge retrieval MCP?

General knowledge retrieval MCP covers many sources such as docs, notes, drives, and wikis. NotebookLM MCP is specifically for workflows that already organize research and documents inside Google NotebookLM.