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How to Use the Hyperbrowser (Web Infra for AI) MCP in OpenAI Agents SDK

Spin up cloud browsers directly from your OpenAI Agents SDK workflows to extract clean web data with built-in guardrails.

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OpenAI Agents SDK

Connect Hyperbrowser (Web Infra for AI) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hyperbrowser (Web Infra for AI) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Control remote browsers from OpenAI Agents SDK

`create_session` boots up a dedicated cloud browser instance that your OpenAI agent controls directly. You pass custom configs like proxies or stealth settings, keeping your agents from getting blocked during deep web research. Once the session is live, the agent uses `run_script` to click buttons, fill forms, or trigger page actions in real time. Because the SDK tracks agent actions, you can set strict guardrails on what code gets executed before it hits the MCP Server.

Clean data extraction with runtime verification

`extract_data` processes messy web pages and turns them into clean JSON based on your schema. Your agent gets exactly the structured data it needs without writing custom scraping rules. If you need raw page data, `page_content` grabs the live DOM immediately. The OpenAI tracing dashboard logs every single extraction call so you can verify that your agent is not hallucinating web elements.

Asynchronous scraping for multi-agent handoffs

`start_scrape` kicks off long-running scraping tasks in the background while your primary agent handles other work. This keeps your main execution loop fast and responsive. A specialized monitoring agent can periodically call `get_scrape_job` to check the progress and grab the HTML. Handoffs of heavy web scraping jobs become straightforward without blocking your main pipeline.

Setup guide

Set up Hyperbrowser (Web Infra for AI) MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Hyperbrowser (Web Infra for AI) tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hyperbrowser (Web Infra for AI) tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hyperbrowser (Web Infra for AI) tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Hyperbrowser (Web Infra for AI) Agent",
            instructions="You have access to Hyperbrowser (Web Infra for AI) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hyperbrowser. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Hyperbrowser (Web Infra for AI) MCP in OpenAI Agents SDK

Install openai-agents first. Then instantiate MCPServerStreamableHttp with your Vinkius endpoint URL and set cacheToolsList to true. Pass that server instance into your Agent constructor's mcp_servers list to auto-discover all browser tools on the MCP Server.
Yes, your agent can execute arbitrary scripts inside active sessions using `run_script`. This tool lets you bypass complex UI patterns by executing JS directly in the page context.
Your agent should call `stop_session` once its web task is finished. If you run multiple concurrent tasks, `list_sessions` helps you audit active browser instances and prevent orphaned cloud sessions.
Yes, `page_screenshot` generates a snapshot of the current page state. This is perfect for visual validation steps in your agent workflows, letting you debug visual layout issues directly through the OpenAI dashboard.
All raw HTML payloads, cookies, and page screenshots processed during your session remain isolated in ephemeral V8 sandboxes. Vinkius secures your credential transport for the MCP connection, while Hyperbrowser ensures that session data is permanently wiped the millisecond you execute `stop_session`.

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