How to Use the Browse AI MCP in OpenAI Agents SDK

Q: Can I use Browse AI to monitor specific sites in OpenAI Agents SDK?

Absolutely. You set up recurring checks with createmonitor and let the agent handle the output.

Scrape sites directly inside your OpenAI Agents SDK workflow. Pull data without writing a single line of browser automation code.

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Connect Browse AI MCP to OpenAI Agents SDK

Create your Vinkius account to connect Browse 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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Setup Browse AI with OpenAI Agents SDK

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Automate data extraction in OpenAI Agents SDK

Trigger scraping tasks instantly by calling `trigger_robot_run` from your agent logic. Your agents handle the heavy lifting while you focus on the logic that follows. Monitor your progress with `get_run_status` to ensure data hits your pipeline exactly when needed. This keeps your agent system moving fast without manual oversight.

Manage your scraping fleet

List your available scrapers using `list_robots` to see what you have ready to go. You can toggle specific tasks or check existing setups. Use `list_active_monitors` to pull up current schedules. It gives you a clear view of what is running across your infrastructure.

Track usage and history

Keep tabs on your credit balance with `get_usage_quotas` to prevent surprise overages. It keeps your production agent systems predictable. Review past activity using `list_robot_history` to audit what your agents pulled previously. This ensures your data logs remain accurate and complete.

Setup guide

Set up Browse 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

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

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 Browse AI tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Browse AI tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Browse 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="Browse AI Agent",
            instructions="You have access to Browse AI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Browse AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Browse AI MCP in OpenAI Agents SDK

You pass the server details into the MCPServerStreamableHttp class. Once initialized, the SDK auto-discovers every tool for your agents to use.

Yes, it fits right into your production stack. You get full visibility into tool calls via the OpenAI dashboard, making debugging simple.

Absolutely. You set up recurring checks with `create_monitor` and let the agent handle the output.

The server returns status codes you can catch in your Python code. You can then trigger a retry or alert your logs.

Vinkius handles your auth tokens in an isolated sandbox. We only touch the structured data returned by your chosen robots.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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