# notebooklm-mcp

> Use this tool when you need to streamline AI-powered research and content generation, as it bridges Claude Code/Cowork with Google NotebookLM to provide a structured interface for source analysis, chat, and content creation. It solves problems of inefficient research and content generation by leveraging AI capabilities. Ideal for use cases requiring automated research assistance and structured content output.

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

## Description

Bridges Claude Code/Cowork with Google NotebookLM for AI-powered research, source analysis, chat, and content generation through a structured tool interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4wjz8qhcj)
- **Repository:** <https://github.com/ripafratta/notebooklm-py-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": "ripafratta-notebooklm-py-mcp"
    }
  }
}
```

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