NotebookLM MCP

Enables AI assistants to interact with Google NotebookLM, allowing notebook management, source ingestion, deep research, and content generation directly from the terminal or IDE.

→ m4yk3ldev/notebooklm-mcp · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 1 credential: NOTEBOOKLM_CSRF_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configNOTEBOOKLM_BL

configNOTEBOOKLM_COOKIES— Pick your client below — every section shows the config file path per OS, a minimal copy-paste block, and the advanced variant with --query-timeout and env override.

🔐 secretNOTEBOOKLM_CSRF_TOKEN— For headless / CI environments, set NOTEBOOKLM_COOKIES (and optionally , NOTEBOOKLM_SESSION_ID) instead of running the auth flow. Token resolution order: env var → ~/.notebooklm-mcp/auth.json → error.

configNOTEBOOKLM_SESSION_ID— For headless / CI environments, set NOTEBOOKLM_COOKIES (and optionally NOTEBOOKLM_CSRF_TOKEN, ) instead of running the auth flow. Token resolution order: env var → ~/.notebooklm-mcp/auth.json → error.

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/m4yk3ldev-notebooklm-mcp-17bqjv)](https://m8ven.ai/mcp/m4yk3ldev-notebooklm-mcp-17bqjv)

commit: dffacb3c443b21ce2096fb356f56cad8641e4916

code hash: 71a8b1d7c43e6f8252f916afa3e7bdbb7cd7b67fe2b75979268f6da22e057cf1

verified: 6/22/2026, 12:29:42 PM

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