blog-notebooklm

What problem does it solve?

Enables reliable, source-backed research by querying a user's Google NotebookLM notebooks so answers are grounded in the user's uploaded documents and accompanied by citations, eliminating reliance on web search or hallucinated responses.

Core Features & Use Cases

• Source-grounded Q&A: Ask natural-language questions and receive citation-backed answers drawn exclusively from your NotebookLM content.
• Authentication & State Management: One-time interactive Google login with persistent browser state and cookie injection to maintain session fidelity.
• Notebook Library & Discovery: Smart-discover notebooks, add/list/search notebooks, set an active notebook, and return JSON results for programmatic use.
• Graceful Fallback & Integration: Returns silently when unauthenticated for internal callers, supports JSON output for task subagents, and includes cleanup and validation utilities.
• Use Case: A content researcher queries a marketing research notebook to extract Tier 1 evidence and citations for a blog post without risking hallucinations.

Quick Start

Ask the agent: /blog notebooklm ask What are the key takeaways and sources in the marketing-research notebook?