ScreenshotOne 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 ScreenshotOne through the 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="ScreenshotOne Assistant",
instructions=(
"You help users interact with ScreenshotOne. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ScreenshotOne"
)
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 ScreenshotOne MCP Server
Empower your AI agent to orchestrate your entire visual auditing and website capturing workflow with ScreenshotOne, the reliable API for high-quality screenshots. By connecting ScreenshotOne to your agent, you transform complex capturing tasks into a natural conversation. Your agent can instantly take full-page screenshots, generate PDFs from URLs, and audit page metadata without you ever touching a browser. Whether you are monitoring site changes or archiving visual content, your agent acts as a real-time visual archiver, ensuring your records are always clear and comprehensive.
The OpenAI Agents SDK auto-discovers all 6 tools from ScreenshotOne through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries ScreenshotOne, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Visual Auditing — Take high-resolution 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 site design and content.
- Document Intelligence — Generate professional PDFs from any website for easy sharing and offline auditing.
- Metadata Discovery — Retrieve website titles, descriptions, and page sizes without performing a full capture.
- Targeted Capturing — Take screenshots of specific CSS elements or custom viewports to focus on what matters most.
The ScreenshotOne 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 ScreenshotOne to OpenAI Agents SDK via MCP
Follow these steps to integrate the ScreenshotOne 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 ScreenshotOne
Why Use OpenAI Agents SDK with the ScreenshotOne MCP Server
OpenAI Agents SDK provides unique advantages when paired with ScreenshotOne 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
ScreenshotOne + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ScreenshotOne MCP Server delivers measurable value.
Automated workflows: build agents that query ScreenshotOne, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries ScreenshotOne, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ScreenshotOne tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ScreenshotOne to resolve tickets, look up records, and update statuses without human intervention
ScreenshotOne MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect ScreenshotOne to OpenAI Agents SDK via MCP:
generate_pdf
Generate a PDF from a URL
get_page_metadata
) without capturing. Get metadata for a website (title, size, etc.) without capturing
take_element_screenshot
Take a screenshot of a specific CSS element
take_full_page_screenshot
Take a full-page screenshot of a URL
take_screenshot
Take a screenshot of a URL
take_viewport_screenshot
Take a screenshot with a specific viewport size
Example Prompts for ScreenshotOne in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ScreenshotOne immediately.
"Take a screenshot of https://vinkius.com."
"Capture the full page of https://github.com/vinkius."
"Show metadata for https://www.google.com."
Troubleshooting ScreenshotOne MCP Server with OpenAI Agents SDK
Common issues when connecting ScreenshotOne to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ScreenshotOne + OpenAI Agents SDK FAQ
Common questions about integrating ScreenshotOne 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 ScreenshotOne 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 ScreenshotOne to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.