# NotebookLM MCP Server

> Use this tool when you need to streamline research and content creation through natural language interactions, enabling you to manage notebooks, add sources, and generate multimedia content such as audio, videos, and infographics. It solves problems related to research organization, analysis, and presentation, accepting inputs like URLs, YouTube links, and Drive files, and producing outputs like slide decks and summaries. Ideal for use cases requiring AI-powered research assistance and automated content generation.

Canonical page: https://skillsregistry.net/skills/set2374-notebooklm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/set2374-notebooklm-mcp

## Description

Enables interaction with Google's NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Drive, perform AI-powered research and analysis, and generate audio overviews, videos, infographics, and slide decks from research content.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bvm7vi7uj4)
- **Repository:** <https://github.com/set2374/notebooklm-mcp-archived>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "set2374-notebooklm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/set2374-notebooklm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/set2374-notebooklm-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt