# Notebooklm-Unofficial-API-MCP

> Notebooklm-Unofficial-API-MCP — devstackk-notebooklm-unoffical-api-mcp. Use this tool when you need to manage and interact with Google NotebookLM notebooks, enabling features like chat, artifact generation, and deep research. It solves problems related to notebook organization, source handling, and collaboration, providing a seamless interface for inputs like text prompts and outputs like generated artifacts. Ideal for use cases requiring advanced notebook management and AI-driven research capabilities.

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

## Description

A thin MCP wrapper around the unofficial Google NotebookLM Python client, enabling notebook management, source handling, chat, artifact generation, deep research, and sharing via MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g1doffct6l)
- **Repository:** <https://github.com/DevstackK/Notebooklm-Unoffical-API-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": "devstackk-notebooklm-unoffical-api-mcp"
    }
  }
}
```

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