How to Use the Browserhub MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK use Browserhub to scrape sites without blueprints?

Yes, use the directscrape tool. It lets your agent pull data from any URL without needing a pre-defined configuration.

Q: How do I verify the results of a scrape?

Call getscrapingjob with the job ID returned by the initial run command. It provides the status and the extracted data payload for your agent to process.

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Connect Browserhub MCP to OpenAI Agents SDK

Create your Vinkius account to connect Browserhub 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 Browserhub with OpenAI Agents SDK

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Run custom scrapers in OpenAI Agents SDK

Trigger data collection jobs immediately using `run_scraper` without leaving your Python environment. Your agent handles the logic while this server manages the heavy lifting of browser interactions. This workflow allows your agent to fetch live site data and process it through your safety guardrails instantly. You can confirm the status of any task by calling `get_scraping_job` to keep your pipeline moving.

Manage your Browserhub scrapers

Check what is currently configured by querying `list_scrapers` to see your available extraction logic. It keeps your agent aware of its own capabilities at runtime. Need more detail on a specific job? Use `get_scraper` to inspect the underlying configuration before you trigger a new execution. It ensures your agent always uses the correct parameters for the site it is currently visiting.

Monitor your credit usage

Keep an eye on your operational costs by using `get_account_balance` inside your agent logic. It prevents unexpected service interruptions during high-volume production runs. Your agents can trigger a check before starting a massive crawl. If the balance looks low, the agent can stop the task or flag the issue for human review.

Setup guide

Set up Browserhub 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 Browserhub tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browserhub. 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 Browserhub MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the endpoint. Pass this into the mcp_servers list during the Agent constructor setup.

Yes, use the `direct_scrape` tool. It lets your agent pull data from any URL without needing a pre-defined configuration.

Absolutely. Set cacheToolsList to True in your configuration to speed up discovery. This helps your agent find available tools faster on subsequent runs.

Call `get_scraping_job` with the job ID returned by the initial run command. It provides the status and the extracted data payload for your agent to process.

Your scraping configurations and extracted URL content remain strictly within your session. We use encrypted tokens to ensure that only your authorized agent interacts with your specific account data.

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