How to Use the Urlbox MCP in OpenAI Agents SDK

Q: How can I use Urlbox with my OpenAI Agents SDK for web scraping?

Your agents use the capturepdf tool to convert URLs into PDFs. This happens within your async context manager, making it safe for production environments. You'll get a clean data artifact immediately after execution.

Q: What should I check regarding usage when using Urlbox with OpenAI Agents SDK?

Always call getcreditusage before running large batches of renders. This function provides real-time statistics on your account's consumption, preventing unexpected rate limit errors.

Q: Does the MCP Server support listing proxies for OpenAI Agents SDK?

Yes. The listproxies tool lets your agent check which network endpoints are available. This is a key step if the target website blocks standard IP ranges, helping you reroute traffic.

Q: When using Urlbox with OpenAI Agents SDK, how do I confirm render completion?

You use getrenderstatus to poll the result of an asynchronous job. Once the status confirms success, your agent knows it can safely retrieve the final output.

Run reliable web captures and rendering tasks with your OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Urlbox MCP to OpenAI Agents SDK

Create your Vinkius account to connect Urlbox 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.

GDPR Free for Subscribers

Setup Urlbox with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Capture Screenshots and PDFs via MCP Server

The `capture_pdf` tool lets agents convert any given URL into a clean PDF file. You can also use `capture_png` to grab direct screenshots, which is useful when you need visual proof of content. This keeps your agent's output highly reliable. The system handles complex rendering jobs using both synchronous (`render_sync`) and asynchronous (`render_async`) methods. If the job takes time, results are reliably sent back via a dedicated webhook.

Manage Server Resources with OpenAI Agents SDK

Agents can check usage limits by calling `get_credit_usage`, ensuring they don't run into billing issues mid-task. They also list all available infrastructure assets using `list_proxies` and `list_storage_buckets`. This visibility is crucial for production agents. Knowing what resources are available lets your agent decide if it needs to switch proxies or check a different storage location before attempting a render.

Monitor Webhook and Render Status

When an async rendering job runs, the `get_render_status` tool shows exactly where that process stands. Agents can also manage external communication by listing active webhooks using `list_webhooks`. Furthermore, they can trigger a manual render of raw HTML content using `render_html`. This makes your agent highly deterministic; it always knows if the background task finished or what format the data is currently in.

Setup guide

Set up Urlbox 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 Urlbox tools at runtime.
3

Create your Agent

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

Run the agent

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

Your agents use the `capture_pdf` tool to convert URLs into PDFs. This happens within your async context manager, making it safe for production environments. You'll get a clean data artifact immediately after execution.

Always call `get_credit_usage` before running large batches of renders. This function provides real-time statistics on your account's consumption, preventing unexpected rate limit errors.

Yes. The `list_proxies` tool lets your agent check which network endpoints are available. This is a key step if the target website blocks standard IP ranges, helping you reroute traffic.

You use `get_render_status` to poll the result of an asynchronous job. Once the status confirms success, your agent knows it can safely retrieve the final output.

The server touches usage statistics and basic account profile details when you call `get_account_info` or check your credit usage. This data helps the agent maintain operational awareness.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript