Pantheon-Security/notebooklm-mcp-secure

v1.6.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 5mo MCP Security & Auth

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai automation browser-automation claude google llm

+5 more

mcp model-context-protocol notebooklm research typescript

Summary

AI summary

Adds comprehensive compliance support for GDPR, SOC2 Type II, and CSSF with data subject rights handling.

Full changelog

🏢 Enterprise Compliance Module

Major release adding comprehensive compliance support for regulated industries.

Supported Regulations

GDPR - Consent management, DSAR handling, right to erasure, data portability
SOC2 Type II - Hash-chained audit logs, incident response, availability monitoring
CSSF (Luxembourg) - 7-year retention, SIEM integration, policy documentation

New Features

Phase 1: Core Infrastructure

Compliance Logger with tamper-evident hash chains
Data Classifier (5 sensitivity levels)
Data Inventory (GDPR Article 30)
Consent Manager

Phase 2: Data Subject Rights

DSAR Handler (Article 15)
Data Erasure Manager (Article 17)
Data Exporter (Article 20)
Retention Engine

Phase 3: Security Monitoring

Incident Manager with 72-hour breach notification tracking
Alert Manager (console, file, webhook, email)
Breach Detector with pattern matching
Health Monitor (SOC2 availability)
SIEM Exporter (CEF, LEEF, Syslog, Splunk HEC)

Phase 4: Reporting & Documentation

Report Generator (JSON, CSV, HTML)
Evidence Collector for audits
Real-time Compliance Dashboard
Change Log for SOC2
Policy Doc Manager
16 MCP Compliance Tools

Technical Details

23 new TypeScript modules
13,147 lines of code
Zero external dependencies
Full type safety

Installation

npm install @pan-sec/[email protected]

Full Changelog: https://github.com/Pantheon-Security/notebooklm-mcp-secure/blob/main/CHANGELOG.md

View diff on GitHub

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About Pantheon-Security/notebooklm-mcp-secure

Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents.

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