This release adds 4 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+5 more
Summary
AI summaryAdded Document API with upload, query, list, and delete tools for fast, temporary document processing.
Full changelog
📄 Document API (v1.9.0)
Upload and query documents directly via Gemini API — no browser automation needed.
New Tools
upload_document — Fast Document Upload
- Supported: PDF (50MB, 1000 pages), TXT, MD, HTML, CSV, JSON, DOCX, images, audio, video
- 48-hour retention with auto-expiration
- Returns file ID for querying
query_document — Ask Questions About Documents
- Full document understanding (text, tables, charts, diagrams)
- Multi-document queries for comparing files
- Fast API response (no browser wait)
list_documents — See All Uploaded Files
- Shows file names, sizes, MIME types, expiration times
delete_document — Clean Up Sensitive Files
- Immediately remove files (don't wait for 48h expiration)
Why This Matters
| Feature | Browser Mode | Document API |
|---------|--------------|--------------|
| Speed | Seconds | Milliseconds |
| Reliability | UI-dependent | API-stable |
| File Support | Via NotebookLM | 50MB PDFs, 1000 pages |
| Retention | Permanent | 48 hours |
| Setup | Auth + cookies | Just API key |
When to Use Document API vs NotebookLM
| Scenario | Use |
|----------|-----|
| Quick one-off document analysis | Document API — fast, no setup |
| Building a permanent knowledge base | NotebookLM — permanent storage |
| Analyzing sensitive documents | Document API — 48h auto-delete |
| CI/CD pipeline document processing | Document API — API-native |
Configuration
GEMINI_API_KEY=your-api-key # Required for all Gemini features
Install
npm install -g @pan-sec/[email protected]
Full Changelog: https://github.com/Pantheon-Security/notebooklm-mcp-secure/compare/v1.8.0...v1.9.0
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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.
Related context
Beta — feedback welcome: [email protected]