NotebookLM

About

This server bridges the gap between your local AI agents (like Claude Code or Cursor) and Google's NotebookLM, a powerful, Gemini 2.5-powered knowledge base designed for zero-hallucination answers. It tackles common issues faced by local agents when searching documents, such as high token consumption, inaccurate retrieval, and generative hallucinations. By enabling direct communication, your agent can autonomously research, synthesize information, and write accurate code without manual copy-pasting, significantly enhancing productivity and reliability in development workflows. It eliminates the need for manual context switching between NotebookLM and your editor, allowing agents to build deep understanding through automated follow-up questions.

Key Features

• Deep Cleanup Tool: Provides options to scan and manage NotebookLM data across the system.
• Zero Hallucination: Provides factual answers based on your documents, refusing to invent information if it's not present.
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• Cross-Tool Sharing: Configuration and library are shared across multiple AI agents (e.g., Claude Code, Cursor).
• Autonomous Research: Allows AI agents to ask sequential follow-up questions to build a comprehensive understanding before coding.
• Smart Library Management: Store and retrieve NotebookLM links with tags and descriptions, enabling agents to automatically select relevant notebooks.

Use Cases

• Empower AI agents to conduct in-depth research on specific libraries or APIs by linking directly to curated NotebookLM sources.
• Integrate external knowledge bases seamlessly into development environments for real-time, context-aware assistance from AI agents.
• Build n8n workflows without generating hallucinations by enabling AI agents to query accurate documentation via NotebookLM.