Urlbox MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Urlbox through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Urlbox Assistant",
instructions=(
"You help users interact with Urlbox. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Urlbox"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Urlbox MCP Server
Empower your AI agent to orchestrate your entire visual rendering and website capturing workflow with Urlbox, the professional API for pixel-perfect screenshots. By connecting Urlbox to your agent, you transform complex rendering tasks into a natural conversation. Your agent can instantly take high-fidelity screenshots, generate mobile-optimized views, and produce professional PDFs without you ever touching a dashboard. Whether you are conducting visual QA or archiving dynamic web content, your agent acts as a real-time rendering engine, ensuring your visual records are always accurate and high-resolution.
The OpenAI Agents SDK auto-discovers all 6 tools from Urlbox through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Urlbox, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Visual Auditing — Take pixel-perfect screenshots of any URL and retrieve the direct image links instantly.
- Full-page Oversight — Capture entire website pages from top to bottom to maintain a complete view of dynamic content.
- Mobile Intelligence — Generate screenshots using mobile user agents to verify responsive designs and layouts.
- Retina Discovery — Retrieve high-resolution retina screenshots for professional design audits.
- Document Intelligence — Convert any website into a professional PDF document for easy sharing and offline access.
The Urlbox MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Urlbox to OpenAI Agents SDK via MCP
Follow these steps to integrate the Urlbox MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Urlbox
Why Use OpenAI Agents SDK with the Urlbox MCP Server
OpenAI Agents SDK provides unique advantages when paired with Urlbox through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Urlbox + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Urlbox MCP Server delivers measurable value.
Automated workflows: build agents that query Urlbox, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Urlbox, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Urlbox tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Urlbox to resolve tickets, look up records, and update statuses without human intervention
Urlbox MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Urlbox to OpenAI Agents SDK via MCP:
generate_pdf
Generate a PDF from a URL
get_metadata
Get metadata for a URL (Placeholder)
take_full_page_screenshot
Take a full-page screenshot of a URL
take_mobile_screenshot
Take a screenshot with a mobile user agent
take_retina_screenshot
Take a high-resolution retina screenshot
take_screenshot
Take a PNG screenshot of a URL
Example Prompts for Urlbox in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Urlbox immediately.
"Render a high-fidelity screenshot of https://vinkius.com."
"Take a mobile screenshot of https://github.com."
"Convert https://www.bbc.com into a PDF."
Troubleshooting Urlbox MCP Server with OpenAI Agents SDK
Common issues when connecting Urlbox to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Urlbox + OpenAI Agents SDK FAQ
Common questions about integrating Urlbox MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Urlbox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Urlbox to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.