Gemini Notebook MCP
AI agent access to Google Gemini Notebook research platform
Add it to your client
Communitypip install notebooklm-mcp-cli
- Transport
- stdio
- Runtime
- Python
- Auth
- Required
- Tools
- 43
- License
- MIT
Gemini Notebook MCP bridges AI assistants directly to Google's Gemini Notebook, a research and learning platform powered by Gemini models. Instead of manual web interactions, agents can now automate entire research workflows through 43 MCP tools.
Highlights
- Manage research notebooks programmatically — create, list, query, and share
- Ingest sources in bulk from URLs, Google Drive files, and uploaded documents
- Generate studio artifacts: podcasts, videos, infographics, and slide decks
- Run cross-notebook queries and build multi-step research pipelines
- Batch operations for efficient handling of large notebooks
- Smart tagging and selective artifact downloads
- Browser-based authentication with automatic token refresh
The server runs as a Python executable and connects via stdio. Authentication happens through a single nlm login command that extracts Google cookies and manages token lifecycle. Once authenticated, any connected AI agent gains full programmatic access to the user's Gemini Notebook workspace — perfect for research automation, content generation workflows, and knowledge synthesis at scale.
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