NotebookLM Secure

About

This tool is a security-hardened fork of the NotebookLM Model Context Protocol (MCP) server, specifically designed to protect sensitive data when AI agents interact with Google NotebookLM. It addresses the inherent risks associated with handling browser sessions, stored cookies/tokens, and proprietary query history by integrating 14 robust security layers. Key protections include post-quantum encryption, secrets scanning, certificate pinning, memory scrubbing, and tamper-evident audit logging, ensuring enterprise-grade security for zero-hallucination answers from your NotebookLM documents across Linux, macOS, and Windows platforms.

Key Features

• Tamper-Evident Audit Logging (with hash chains)
• 0 GitHub stars
• Post-Quantum Encryption (ML-KEM-768 + ChaCha20-Poly1305 hybrid)
• Memory Scrubbing (zeros sensitive data after use)
• Secrets Scanning (detects 30+ credential patterns)
• Certificate Pinning (blocks MITM attacks on Google connections)

Use Cases

• Securely integrating Google NotebookLM with AI agents (e.g., Claude, Codex, Cursor).
• Conducting autonomous research with zero-hallucination answers from curated documents.
• Protecting sensitive browser sessions, credentials, and query history during AI-driven information retrieval.