# How to integrate Hyperbrowser MCP with Autogen

```json
{
  "title": "How to integrate Hyperbrowser MCP with Autogen",
  "toolkit": "Hyperbrowser",
  "toolkit_slug": "hyperbrowser",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/hyperbrowser/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/hyperbrowser/framework/autogen.md",
  "updated_at": "2026-05-06T08:16:05.497Z"
}
```

## Introduction

This guide walks you through connecting Hyperbrowser to AutoGen 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 AutoGen 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/hyperbrowser/framework/open-ai-agents-sdk)
- [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 required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Hyperbrowser
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Hyperbrowser tools
- Run a live chat loop where you ask the agent to perform Hyperbrowser operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Hyperbrowser. Instead of manually wiring Hyperbrowser APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Hyperbrowser account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

Install Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Hyperbrowser via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Hyperbrowser connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Hyperbrowser tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Hyperbrowser session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hyperbrowser"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Hyperbrowser tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Hyperbrowser assistant agent with MCP tools
    agent = AssistantAgent(
        name="hyperbrowser_assistant",
        description="An AI assistant that helps with Hyperbrowser operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Hyperbrowser tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Hyperbrowser related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

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

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Hyperbrowser session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hyperbrowser"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Hyperbrowser assistant agent with MCP tools
        agent = AssistantAgent(
            name="hyperbrowser_assistant",
            description="An AI assistant that helps with Hyperbrowser operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Hyperbrowser related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

## Conclusion

You now have an Autogen assistant wired into Hyperbrowser through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Hyperbrowser, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Hyperbrowser MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/hyperbrowser/framework/open-ai-agents-sdk)
- [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.
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- [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.
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## 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 Autogen?

Yes, you can. Autogen 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.

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