Queries Google NotebookLM from AI agents with session-based conversations, notebook library management and source-grounded answers, adding security hardening layers.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add notebooklm-secure -- npx -y @pan-sec/notebooklm-mcp~/.codex/config.toml
[mcp_servers.notebooklm-secure]
command = "npx"
args = ["-y", "@pan-sec/notebooklm-mcp"]
# codex mcp add notebooklm-secure -- npx -y @pan-sec/notebooklm-mcp~/.cursor/mcp.json
{
"mcpServers": {
"notebooklm-secure": {
"command": "npx",
"args": [
"-y",
"@pan-sec/notebooklm-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"notebooklm-secure": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@pan-sec/notebooklm-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"notebooklm-secure": {
"command": "npx",
"args": [
"-y",
"@pan-sec/notebooklm-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"notebooklm-secure": {
"command": "npx",
"args": [
"-y",
"@pan-sec/notebooklm-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"notebooklm-secure": {
"command": "npx",
"args": [
"-y",
"@pan-sec/notebooklm-mcp"
]
}
}
}