# NotebookLM

```json
{
  "name": "NotebookLM",
  "slug": "notebook_lm",
  "url": "https://composio.dev/toolkits/notebook_lm",
  "markdown_url": "https://composio.dev/toolkits/notebook_lm.md",
  "logo_url": "https://logos.composio.dev/api/notebooklm",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": true,
  "updated_at": "2026-10-05T11:08:00.435Z"
}
```

![NotebookLM logo](https://logos.composio.dev/api/notebooklm)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with NotebookLM MCP or direct API to manage notebooks, organize sources, query grounded content, and generate research summaries through natural language.

## Summary

NotebookLM is Google's source-grounded AI notebook service for organizing sources and notes.
It helps teams work from trusted material, keeping research clear, structured, and easy to use.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 11
- Managed auth: Managed by Composio

## Images

- Logo: https://logos.composio.dev/api/notebooklm

## Authentication

- **Oauth2**
  - Type: `oauth2`
  - Description: Oauth2 authentication for NotebookLM.
  - Setup:
    - Configure Oauth2 credentials for NotebookLM.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize sources in my research notebook
- Create notebook from product launch docs
- List sources in policy analysis notebook

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NOTEBOOK_LM_ADD_TEXT_SOURCES` | Add Text Sources | Add one or more named raw-text sources to a NotebookLM Enterprise notebook. |
| `NOTEBOOK_LM_CREATE_AUDIO_OVERVIEW` | Create Audio Overview | Start asynchronous generation of a NotebookLM Enterprise audio overview from selected notebook sources. Each notebook can have only one audio overview; if one already exists, Google returns it and ignores new generation options. The request may incur provider charges and returns before audio is ready; the public API exposes no status polling method. |
| `NOTEBOOK_LM_CREATE_NOTEBOOK` | Create Notebook | Create a NotebookLM Enterprise notebook in a licensed Google Cloud project and location. |
| `NOTEBOOK_LM_DELETE_AUDIO_OVERVIEW` | Delete Audio Overview | Permanently delete an audio overview from a NotebookLM Enterprise notebook. If the audio overview is still being generated, this permanently cancels generation. This cannot be undone. |
| `NOTEBOOK_LM_DELETE_NOTEBOOKS` | Delete Notebooks | Permanently delete one or more NotebookLM Enterprise notebooks by notebook ID. |
| `NOTEBOOK_LM_DELETE_SOURCES` | Delete Sources | Permanently remove one or more sources from a NotebookLM Enterprise notebook. |
| `NOTEBOOK_LM_GET_NOTEBOOK` | Get Notebook | Retrieve a NotebookLM Enterprise notebook and its current source metadata. |
| `NOTEBOOK_LM_GET_SOURCE` | Get Source | Retrieve a notebook source's ingestion status, metadata, and failure reason. |
| `NOTEBOOK_LM_LIST_RECENT_NOTEBOOKS` | List Recent Notebooks | List up to 500 NotebookLM Enterprise notebooks ordered by when the connected user last viewed them. Google currently omits continuation tokens, so accounts with more than 500 notebooks may not expose older results. |
| `NOTEBOOK_LM_SHARE_NOTEBOOK` | Share Notebook | Grant, change, or remove account access to a NotebookLM Enterprise notebook. Notification emails are disabled by default; setting notify_via_email=true sends email and cannot be undone. |
| `NOTEBOOK_LM_UPLOAD_SOURCE_FILE` | Upload Source File | Upload a plain-text file as a source in a NotebookLM Enterprise notebook. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to NotebookLM
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["notebook_lm"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["notebook_lm"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run NotebookLM tools with your agent

Send a request, execute the NotebookLM tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List my NotebookLM notebooks and show the sources in each one"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List my NotebookLM notebooks and show the sources in each one" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to NotebookLM and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["notebook_lm"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["notebook_lm"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a NotebookLM request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to NotebookLM tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List my NotebookLM notebooks and show the sources in each one")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List my NotebookLM notebooks and show the sources in each one",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native NotebookLM Integration

- Supports both NotebookLM MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your NotebookLM data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke NotebookLM access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access NotebookLM
- Scoped, least privilege access to NotebookLM resources
- Full audit trail of agent actions to support review and compliance

## Use NotebookLM with any AI Agent Framework

Choose a framework you want to connect NotebookLM with:

- [ChatGPT](https://composio.dev/toolkits/notebook_lm/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/notebook_lm/framework/claude-cowork)
- [Grok Bot](https://composio.dev/toolkits/notebook_lm/framework/grok-bot)

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## Frequently Asked Questions

### Do I need my own developer credentials to use NotebookLM with Composio?

Yes, NotebookLM requires you to configure your own OAuth credentials. Once set up, Composio handles token storage, refresh, and lifecycle management for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)