# notebooklm-api

> notebooklm-api — ishandutta2007-notebooklm-api. Use this tool when you need to interact with Google Gemini Notebook, as it provides a Python API for integration and automation, solving problems related to notebook management and version control through git. It accepts inputs such as notebook commands and git operations, and outputs execution results and notebook state. Utilize it in contexts where programmatic control over notebooks is required, such as data science workflows or automated reporting.

Canonical page: https://skillsregistry.net/skills/ishandutta2007-notebooklm-api  
JSON: https://api.skillsregistry.net/v1/skills/ishandutta2007-notebooklm-api

## Description

Python API and agentic skill for Google Gemini Notebook

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ishandutta2007/notebooklm-api)

## 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": "ishandutta2007-notebooklm-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ishandutta2007-notebooklm-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ishandutta2007-notebooklm-api/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