How to Use the Bright Data MCP in OpenAI Agents SDK

Q: Can I monitor Bright Data job progress inside my OpenAI Agents SDK loop?

Yes, use getdatasetprogress to track your tasks. Your code can poll this tool to verify when a dataset is ready for download.

Use the OpenAI Agents SDK to pull live web datasets and manage scraping browser sessions through this MCP Server.

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Connect Bright Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect Bright Data 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 Bright Data with OpenAI Agents SDK

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Manage your scraping infrastructure with OpenAI Agents SDK

Call `list_browser_sessions` to see what your scraping browsers are doing right now. You can check your account status using `get_account_status` to ensure your credits are in order before a run. This MCP Server keeps your agent aware of your scraping state. Your agent reads the output of these tools to decide which browser session to inspect next.

Automate data collection via OpenAI Agents SDK

Trigger a new crawl by calling `trigger_dataset`. Once that hits, use `get_dataset_progress` to see if the collection finished or if it needs more time. Your agent handles the timing logic based on these status checks. It avoids starting new jobs until the previous ones show as complete.

Fetch structured results using OpenAI Agents SDK

Use `get_dataset_snapshot` to pull the final data directly into your agent's memory. If you need search engine results, `send_request` passes your queries to the Unlocker API. This keeps your agent focused on the logic rather than the HTTP transport. You get clean, structured data ready for analysis.

Setup guide

Set up Bright Data 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 Bright Data tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bright Data 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="Bright Data Agent",
            instructions="You have access to Bright Data 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 Bright Data. 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 Bright Data MCP in OpenAI Agents SDK

You provide your endpoint token to the Vinkius platform. The server handles the handshake so your OpenAI Agents SDK agent just receives valid data.

Yes, use `get_dataset_progress` to track your tasks. Your code can poll this tool to verify when a dataset is ready for download.

It does. Because the server returns structured tool outputs, your guardrails can validate the response schemas before the agent processes the raw data.

The server returns an error code specific to the failed action. Your agent can catch this and decide to retry or log the failure.

Bright Data processes your scraping requests and snapshot downloads in isolation. Your credentials and session tokens never leave the secure Vinkius environment.

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