# How to integrate Hyperbrowser MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Hyperbrowser MCP with OpenAI Agents SDK",
  "toolkit": "Hyperbrowser",
  "toolkit_slug": "hyperbrowser",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/hyperbrowser/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/hyperbrowser/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:16:05.497Z"
}
```

## Introduction

This guide walks you through connecting Hyperbrowser to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Hyperbrowser agent that can start a browser session with stealth mode, extract all product titles from this url, check status of your ongoing scrape job through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Hyperbrowser account through Composio's Hyperbrowser MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Hyperbrowser with

- [Claude Agent SDK](https://composio.dev/toolkits/hyperbrowser/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/hyperbrowser/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/hyperbrowser/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/hyperbrowser/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/hyperbrowser/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/hyperbrowser/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/hyperbrowser/framework/cli)
- [Google ADK](https://composio.dev/toolkits/hyperbrowser/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/hyperbrowser/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/hyperbrowser/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/hyperbrowser/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/hyperbrowser/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/hyperbrowser/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Hyperbrowser
- Configure an AI agent that can use Hyperbrowser as a tool
- Run a live chat session where you can ask the agent to perform Hyperbrowser operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Hyperbrowser MCP server, and what's possible with it?

The Hyperbrowser MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hyperbrowser account. It provides structured and secure access to automated browser sessions, web scraping, and browser-based task management, so your agent can launch sessions, extract data, manage automation jobs, and monitor progress on your behalf.
- Automated browser session creation: Let your agent spin up new browser sessions with custom privacy, stealth, and proxy settings for tailored automation tasks.
- Scalable web scraping and extraction: Easily initiate and manage scrape jobs to extract structured content from any target website, with support for session and scrape customization.
- Real-time job status monitoring: Have your agent check, track, and report the live status of browser-use, crawl, or data extraction jobs, ensuring you always know what's happening.
- Retrieve results from automation jobs: Fetch and review the outputs of completed crawl or extract jobs, including paginated data and detailed results, right inside your workflow.
- Profile and automation management: Create or delete Hyperbrowser profiles as needed, giving you flexible control over your automation environment and resources.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HYPERBROWSER_CREATE_PROFILE` | Create Hyperbrowser Profile | Tool to create a new profile. Use when you need to initialize a Hyperbrowser profile before analysis. |
| `HYPERBROWSER_CREATE_SCRAPE_JOB` | Create Scrape Job | Tool to initiate a new scrape job. Use when you need to extract structured content from a target URL with custom session and scrape settings. |
| `HYPERBROWSER_CREATE_SESSION` | Create Session | Tool to create a new browser session with custom stealth, proxy, and privacy settings. Use when initializing an automated browsing session with specific configuration. |
| `HYPERBROWSER_DELETE_PROFILE` | Delete Profile | Tool to delete a profile. Use when you need to remove a profile by its unique identifier after confirming its existence. |
| `HYPERBROWSER_GET_BROWSER_USE_TASK_STATUS` | Get browser-use task status | Tool to retrieve the current status of a browser-use task. Use when checking if a browser automation task has completed or is still pending. |
| `HYPERBROWSER_GET_CLAUDE_COMPUTER_USE_TASK_STATUS` | Get Claude Computer Use Task Status | Tool to retrieve the status of a Claude Computer Use task. Use after creating a task to poll its status. |
| `HYPERBROWSER_GET_CRAWL_JOB_RESULT` | Get Crawl Job Result | Tool to retrieve the result of a completed crawl job. Use after confirming crawl job completion to fetch current page batch and status. Supports pagination via page and batchSize. |
| `HYPERBROWSER_GET_CRAWL_JOB_STATUS` | Get Crawl Job Status | Tool to retrieve the status and results of a specific crawl job. Use after submitting a crawl job to check its progress or fetch results. |
| `HYPERBROWSER_GET_EXTRACT_JOB_RESULT` | Get Extract Job Result | Tool to fetch the status and results of a specific extract job. Use after initiating an extract job to monitor progress and retrieve final data. |
| `HYPERBROWSER_GET_EXTRACT_JOB_STATUS` | Get Extract Job Status | Tool to retrieve the status of an extract job. Use after submitting an extract job to poll its status. |
| `HYPERBROWSER_GET_PROFILE_BY_ID` | Get Profile By ID | Tool to retrieve profile details by ID. Use after confirming the profile ID. |
| `HYPERBROWSER_GET_SCRAPE_JOB_RESULT` | Get Scrape Job Result | Tool to fetch the status and results of a specific scrape job. Use after initiating a scrape job to monitor its progress and retrieve final data. |
| `HYPERBROWSER_GET_SCRAPE_JOB_STATUS` | Get Scrape Job Status | Tool to retrieve the current status of a specific scrape job. Use after initiating a scrape job to poll its status. |
| `HYPERBROWSER_GET_SESSION_DETAILS` | Get Session Details | Tool to retrieve session details by ID. Use after confirming the session ID. |
| `HYPERBROWSER_GET_SESSION_DOWNLOADS_URL` | Get Session Downloads URL | Tool to retrieve the downloads URL for a session. Use when you need the signed URL for session downloads after processing is complete. |
| `HYPERBROWSER_GET_SESSION_RECORDING` | Get Session Recording | Tool to retrieve the recording URL of a session. Use after confirming the session ID and when the recording is expected to be ready. |
| `HYPERBROWSER_LIST_PROFILES` | List Profiles | Tool to list profiles. Use when you need to fetch paginated profiles and optionally filter by name. |
| `HYPERBROWSER_LIST_SESSIONS` | List Sessions | Tool to list sessions with optional status filter. Use when you need a paginated overview of browser sessions before acting on them. |
| `HYPERBROWSER_START_BROWSER_USE_TASK` | Start Browser Use Task | Tool to start an asynchronous browser-use task. Use when you need to automate web interactions given a task instruction. |
| `HYPERBROWSER_START_CLAUDE_COMPUTER_USE_TASK` | Start Claude Computer Use Task | Tool to start a Claude Computer Use task. Use when you need AI-driven automated browser interactions. Call after you have your task prompt and any session preferences configured. |
| `HYPERBROWSER_START_CRAWL_JOB` | Start Crawl Job | Tool to start a new crawl job for a specified URL. Use when you need to initiate a web crawl before checking job status. |
| `HYPERBROWSER_START_EXTRACT_JOB` | Start Extract Job | Tool to start an extract job. Use when you need to initiate a new extraction with custom prompts, schema, and session options. Call after preparing URLs and desired extraction schema. |
| `HYPERBROWSER_STOP_BROWSER_USE_TASK` | Stop Browser Use Task | Tool to stop a running browser-use task. Use when halting an in-progress browser automation task after confirming its task ID. |
| `HYPERBROWSER_STOP_CLAUDE_COMPUTER_USE_TASK` | Stop Claude Computer Use Task | Tool to stop a running Claude computer use task. Use when a Claude computer use task is in progress and needs to be terminated. |
| `HYPERBROWSER_STOP_SESSION` | Stop Session | Tool to stop a running session by ID. Use after confirming the session is active. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Hyperbrowser MCP server is an implementation of the Model Context Protocol that connects your AI agent to Hyperbrowser. It provides structured and secure access so your agent can perform Hyperbrowser operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Hyperbrowser project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Hyperbrowser.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only hyperbrowser.
- The router checks the user's Hyperbrowser connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Hyperbrowser.
- This approach keeps things lightweight and lets the agent request Hyperbrowser tools only when needed during the conversation.
```python
# Create a Hyperbrowser Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["hyperbrowser"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Hyperbrowser
const session = await composio.create(userId as string, {
  toolkits: ['hyperbrowser'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Hyperbrowser. "
        "Help users perform Hyperbrowser operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Hyperbrowser. Help users perform Hyperbrowser operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["hyperbrowser"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Hyperbrowser. "
        "Help users perform Hyperbrowser operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['hyperbrowser'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Hyperbrowser. Help users perform Hyperbrowser operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Hyperbrowser MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Hyperbrowser.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Hyperbrowser MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/hyperbrowser/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/hyperbrowser/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/hyperbrowser/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/hyperbrowser/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/hyperbrowser/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/hyperbrowser/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/hyperbrowser/framework/cli)
- [Google ADK](https://composio.dev/toolkits/hyperbrowser/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/hyperbrowser/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/hyperbrowser/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/hyperbrowser/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/hyperbrowser/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/hyperbrowser/framework/crew-ai)

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- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.
- [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Hyperbrowser MCP?

With a standalone Hyperbrowser MCP server, the agents and LLMs can only access a fixed set of Hyperbrowser tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Hyperbrowser and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Hyperbrowser tools.

### Can I manage the permissions and scopes for Hyperbrowser while using Tool Router?

Yes, absolutely. You can configure which Hyperbrowser scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Hyperbrowser data and credentials are handled as safely as possible.

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