# notebooklm-api

> Use this tool when you need to find specific answers within documents and require accurate citations. It solves problems related to document search, question answering, and citation management by providing exact passage citations. The notebooklm-api takes document uploads and natural language questions as input and returns relevant answers with grounded citations as output.

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

## Description

Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vudv700qi4)
- **Repository:** <https://github.com/mcpware/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": "mcpware-notebooklm-api"
    }
  }
}
```

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