# NotebookLM MCP Server

> Use this tool when you need to integrate Google NotebookLM capabilities into your workflow, enabling seamless querying of notebooks and libraries to obtain grounded research answers. It solves problems of manual data transfer and authentication, providing a direct interface for MCP clients to access research information. The NotebookLM MCP Server takes in queries and library management requests, outputting relevant research answers and results within code editors.

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

## Description

Enables direct integration with Google NotebookLM from MCP clients, allowing agents to query notebooks, manage libraries, and get grounded research answers without manual copy-pasting. Uses browser automation to maintain persistent authentication and provides RAG-style research capabilities within code editors.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r5j7g9yitd)
- **Repository:** <https://github.com/PleasePrompto/notebooklm-mcp>

## 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": "pleaseprompto-notebooklm-mcp"
    }
  }
}
```

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