# How to integrate Browserless MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Browserless MCP with OpenAI Agents SDK",
  "toolkit": "Browserless",
  "toolkit_slug": "browserless",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/browserless/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/browserless/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:04:19.626Z"
}
```

## Introduction

This guide walks you through connecting Browserless to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Browserless agent that can download all invoices from your dashboard, extract product details from a competitor's site, take a screenshot of your homepage after login through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Browserless account through Composio's Browserless MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Browserless with

- [ChatGPT](https://composio.dev/toolkits/browserless/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/browserless/framework/antigravity)
- [Claude Agent SDK](https://composio.dev/toolkits/browserless/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/browserless/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/browserless/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/browserless/framework/codex)
- [Cursor](https://composio.dev/toolkits/browserless/framework/cursor)
- [VS Code](https://composio.dev/toolkits/browserless/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/browserless/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/browserless/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/browserless/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/browserless/framework/cli)
- [Google ADK](https://composio.dev/toolkits/browserless/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/browserless/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/browserless/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/browserless/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/browserless/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/browserless/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 Browserless
- Configure an AI agent that can use Browserless as a tool
- Run a live chat session where you can ask the agent to perform Browserless 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 Browserless MCP server, and what's possible with it?

The Browserless MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Browserless account. It provides structured and secure access to browser automation tools, so your agent can perform actions like fetching web content, scraping data, generating PDFs, taking screenshots, and running custom browser scripts on your behalf.
- Dynamic web content extraction: Instruct your agent to fetch full HTML content—including JavaScript-rendered pages—from any website.
- Automated web scraping: Let your agent extract structured data from pages using CSS selectors, returning results in convenient JSON format.
- On-demand PDF generation: Have your agent instantly generate PDFs from any webpage, with customizable parameters like format and filename.
- Website screenshot capture: Direct your agent to take high-quality screenshots of entire pages or specific sections, supporting multiple image formats and options.
- Custom browser automations: Empower your agent to execute tailored Puppeteer scripts, enabling powerful workflows like file downloads or bypassing bot protections.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BROWSERLESS_DOWNLOAD_FILE` | Download file using Puppeteer script | This tool allows downloading files that Chrome has downloaded during the execution of puppeteer code. It sets up a blank page, creates a fresh download directory, injects the provided code, and executes it. Once the script finishes, any downloaded files from Chromium are returned with the appropriate content-type header. |
| `BROWSERLESS_EXECUTE_CUSTOM_FUNCTION` | Execute Custom Function | A tool that allows executing custom Puppeteer scripts via HTTP requests. This endpoint enables users to run browser automation tasks without managing their own infrastructure. |
| `BROWSERLESS_FETCH_HTML_CONTENT` | Fetch HTML Content | This tool fetches the complete HTML content of a webpage using Browserless's content API. It's designed to retrieve the full HTML contents of any website, including dynamically generated content. |
| `BROWSERLESS_GENERATE_PDF` | Generate PDF from webpage | This tool generates a PDF from a specified webpage using browserless's PDF generation API. It allows specifying the URL of the webpage along with parameters such as format, filename, and waitUntil options to control the PDF generation process. |
| `BROWSERLESS_SCRAPE_CONTENT` | Scrape webpage content using CSS selectors | A tool to extract structured content from a webpage by specifying CSS selectors. The tool navigates to the specified URL, waits for the page to load (including parsing and executing JavaScript), and returns the selected elements in a structured JSON format. |
| `BROWSERLESS_TAKE_SCREENSHOT` | Take Screenshot | A tool that captures a screenshot of a webpage using browserless's screenshot API. The tool takes a URL and returns either a PNG or JPEG image. It includes options for full page capture, image type, quality, and clipping coordinates. |
| `BROWSERLESS_UNBLOCK_PROTECTED_CONTENT` | Unblock Protected Content | This tool provides access to content from websites that implement bot protection mechanisms. It is designed to bypass various types of protection (such as CAPTCHA and bot detections) and return the HTML content of the protected webpage, with optional customization through parameters like waitFor, timeout, and stealth mode. |

## Supported Triggers

None listed.

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

The Browserless MCP server is an implementation of the Model Context Protocol that connects your AI agent to Browserless. It provides structured and secure access so your agent can perform Browserless 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 Browserless 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 Browserless.
```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 browserless.
- The router checks the user's Browserless connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Browserless.
- This approach keeps things lightweight and lets the agent request Browserless tools only when needed during the conversation.
```python
# Create a Browserless Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["browserless"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Browserless
const session = await composio.create(userId as string, {
  toolkits: ['browserless'],
});
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 Browserless. "
        "Help users perform Browserless 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 Browserless. Help users perform Browserless 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=["browserless"]
)
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 Browserless. "
        "Help users perform Browserless 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: ['browserless'],
  });
  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 Browserless. Help users perform Browserless 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 Browserless MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Browserless.
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 Browserless MCP Agent with another framework

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

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

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

With a standalone Browserless MCP server, the agents and LLMs can only access a fixed set of Browserless tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Browserless 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 Browserless tools.

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

Yes, absolutely. You can configure which Browserless 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 Browserless data and credentials are handled as safely as possible.

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