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 Pantheon-Security · MCP Server · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is notebooklm-mcp-secure safe to install? View the security audit →
NotebookLM MCP Server (Security Hardened) 🏆 The World's Most Advanced NotebookLM MCP Server Zero-hallucination answers • Gemini Deep Research • 17 Security Layers • Enterprise Compliance [ claude plugin marketplace
Absurdly easy Model Context Protocol Servers in Typescript
📜 An MCP server for conversation history search and retrieval in Claude Code
Open source AI coding platform with Web IDE, multi-agent system, 37+ tools, MCP protocol. MIT licensed.
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copi
Explore other popular mcp server tools:
notebooklm-mcp-secure is Secure NotebookLM MCP Server - Query Google NotebookLM from Claude/AI agents with 17 security hardening layers. It is categorized as a MCP Server with 81 GitHub stars.
notebooklm-mcp-secure is primarily written in TypeScript. It covers topics such as ai, automation, browser-automation.
You can find installation instructions and usage details in the notebooklm-mcp-secure GitHub repository at github.com/Pantheon-Security/notebooklm-mcp-secure. The project has 81 stars and 19 forks, indicating an active community.
notebooklm-mcp-secure is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to notebooklm-mcp-secure on Agent Skills Hub include camofox-mcp, claude-emporium, easy-mcp. 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.
Sources & who's responsible: