Notebooklm MCP Secure vs BrowserAI Dev

In-depth architectural comparison of the Notebooklm MCP Secure and BrowserAI Dev MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Notebooklm MCP Secure when:

• You need dedicated capabilities in the Research domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: other (Free / Open Source).
• Primary tools included: NotebookLM queries with session-based conversations, Programmatic notebook and source management, Audio and video overview generation.

Explore Notebooklm MCP Secure Details

Choose BrowserAI Dev when:

• You need dedicated capabilities in the Research domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• You have access to required keys: LASTSEARCH_API_KEY.
• Primary tools included: search, open, extract.

Feature & Specification Comparison

Specification	Notebooklm MCP Secure Pantheon-Security Research	BrowserAI Dev BrowseAI-HQ Research
Summary	Query Google NotebookLM from Claude/AI agents with 14 security hardening layers. Session-based conversations, notebook library management, and source-grounded research responses.	Evidence-backed web research for AI agents. Real-time search with cited claims, confidence scores, and compare mode (raw LLM vs evidence-backed). MCP server, REST API, and Python SDK.
Category & Scope

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "pantheon-security-notebooklm-mcp-secure": {
      "command": "npx",
      "args": [
        "-y",
        "@pan-sec/notebooklm-mcp@latest"
      ]
    }
  }
}

{
  "mcpServers": {
    "browseai-hq-browserai-dev": {
      "command": "npx",
      "args": [
        "-y",
        "lastsearch"
      ],
      "env": {
        "LASTSEARCH_API_KEY": "YOUR_LASTSEARCH_API_KEY_HERE"
      }
    }
  }
}

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