How I Connected NotebookLM to Claude and Automated Everything

You’ve probably used Claude.

You’ve probably used NotebookLM.

But here’s what almost nobody’s doing — connecting the two.

Watch the video below:

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Most people don’t realize you can actually link Claude to NotebookLM using a simple MCP server setup.

This changes everything.

You can generate podcasts, infographics, videos, or even full research reports — all from your existing NotebookLM data.

Why This MCP Server Setup Is a Game Changer

Normally, Claude can’t access your notebooks.
And NotebookLM can’t take direct instructions from Claude.

That gap wastes time.

But the MCP server setup bridges the two.

It lets Claude “talk” directly to your notebooks so it can pull data, summarize insights, and generate visuals — all with one command.

You basically give Claude a new superpower.

Setting Up the MCP Server

You don’t need to write a single line of code.

Here’s how I did it.

Go to the GitHub repository for NotebookLM MCP Server.

Copy the link and paste it into Claude Code.

Hit run.

Claude will handle the installation automatically.

Next, open the settings folder inside Claude, find desktop_config.json, and paste in the MCP server details.

Save.

Restart Claude.

Done.

You’ve now connected Claude and NotebookLM.

What Happens After the Setup

Once everything’s running, you’ll see a new connector called “NotebookLM MCP” inside Claude.

That’s when the fun starts.

You can now tell Claude to:

Generate an infographic from a notebook.
Create an audio overview.
Do deep research across multiple notebooks.

Claude instantly pulls data from NotebookLM and creates content for you — without switching tools.

It’s fast, seamless, and smart.

Automate Content in One Place

Before this setup, you had to copy text from NotebookLM and paste it into prompts manually.

Now, you can do everything inside Claude.

You just type your request, and it runs automatically through the MCP server setup.

Want to create a podcast, infographic, or report?
Claude can now handle it all.

And because it runs locally, it’s more secure and private too.

Example: Building Audio From Notes

Let’s say I have a notebook full of ideas for a course.

I tell Claude, “Use NotebookLM MCP to create an audio version.”

Claude sends the command, grabs my data, and generates a high-quality audio overview.

Then I ask it to make a short video and infographic too.

Within minutes, I have a whole set of content ready to use.

That’s the power of the MCP server setup.

NotebookLM + Claude = The Smartest Combo

Once connected, you’re not just using AI — you’re orchestrating it.

Claude becomes the operator.

NotebookLM becomes the database.

Together, they can build podcasts, scripts, infographics, and tools that would’ve taken hours to make manually.

You can even integrate other MCP servers like Browser MCP or AppleScript MCP to automate your desktop and browser tasks too.

It’s like giving Claude a full operating system.

Real Example: Deep Research in Seconds

I tested this with 122 notebooks.

I asked Claude, “Search across all notebooks and summarize top AI automation trends for 2026.”

Within seconds, Claude returned structured, summarized insights — all sourced from my existing data.

That’s the kind of leverage you get once your MCP server setup is working.

If you want the templates and AI workflows, check out Julian Goldie’s FREE AI Success Lab Community here: https://aisuccesslabjuliangoldie.com/

Inside, you’ll see how creators are using the MCP server setup to automate learning, content creation, and client training.

You’ll also get free setup guides, video notes, and my complete January automation files.

Why Most People Fail With MCP Setup

They skip the basics.

You don’t need fancy customizations yet.

Start simple.

Run the GitHub as it is.

Once it connects and works, then add more advanced MCPs later.

That’s how you get stable performance and error-free automation.

How I Use This In My Workflow

Every day, I use the MCP server setup to automate content creation.

I load transcripts into NotebookLM.

Then I ask Claude to generate summaries, audio, and infographics.

Within minutes, I’ve got three new assets ready to publish.

This saves me hours every week and keeps all my data organized in one system.

Key Takeaways

The MCP server setup connects Claude to NotebookLM.
You can automate audio, visuals, and research in one place.
It’s simple — no coding required.
Runs locally for privacy and speed.
Saves hours weekly for creators and agencies.

FAQs

How do I install the NotebookLM MCP server?
Run the GitHub inside Claude Code, paste the MCP details into your config file, and restart.

Can this connect with other tools?
Yes. You can also use it with Anti-Gravity, OpenCode, or any CLI that supports API hooks.

Where can I get templates to automate this?
You’ll find full templates and workflows inside the AI Profit Boardroom, plus free guides inside the AI Success Lab.

What can Claude do once connected?
Generate podcasts, create infographics, run deep research, and automate reports from your notebooks.

Is it free?
Yes. It’s open-source and runs locally on your device.