No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jacob-bd · MCP Server · ★ 5.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is notebooklm-mcp-cli safe to install? View the security audit →
NotebookLM CLI & MCP Server Programmatic access to Google NotebookLM — via command-line interface (CLI) or Model Context Protocol (MCP) server. Note: Tested with Pro/free and Google AI Ultra ($249/mo) tier accounts. May work with NotebookLM Enterprise accounts but has not been tested. 📺 Watch the Demos Latest MCP Demos | [ • AI Automation / AI Agent with M
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notebooklm-mcp-cli is Programmatic access to Google NotebookLM — via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.. It is categorized as a MCP Server with 5.6k GitHub stars.
notebooklm-mcp-cli is primarily written in Python.
You can find installation instructions and usage details in the notebooklm-mcp-cli GitHub repository at github.com/jacob-bd/notebooklm-mcp-cli. The project has 5.6k stars and 863 forks, indicating an active community.
notebooklm-mcp-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to notebooklm-mcp-cli on Agent Skills Hub include activepieces, MaxKB, mcp-for-beginners. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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