# NotebookLM MCP Server

> Use this tool when you need to integrate AI-powered notebook management and source querying into your application, enabling seamless interaction with Google NotebookLM to manage notes and conversations. It solves problems related to knowledge management, research, and automation by providing a unified interface for querying sources and saving responses. The server accepts Model Context Protocol inputs and outputs notes and conversation data, ideal for use cases requiring intelligent notebook organization and information retrieval.

Canonical page: https://skillsregistry.net/skills/mukadeshinigami-mcpnotebooklm  
JSON: https://api.skillsregistry.net/v1/skills/mukadeshinigami-mcpnotebooklm

## Description

Enables AI assistants to interact with Google NotebookLM to manage notebooks, sources, and conversations via the Model Context Protocol. It allows for querying sources using NotebookLM's AI and automatically saving responses as notes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v93yg89zwk)
- **Repository:** <https://github.com/mukadeshinigami/MCPNotebookLM>

## 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": "mukadeshinigami-mcpnotebooklm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mukadeshinigami-mcpnotebooklm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mukadeshinigami-mcpnotebooklm/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