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Scrapfly MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Ai Data Extraction, Capture Screenshot, Check Credit Usage, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Scrapfly through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Scrapfly app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Scrapfly Assistant",
            instructions=(
                "You help users interact with Scrapfly. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Scrapfly"
        )
        print(result.final_output)

asyncio.run(main())
Scrapfly
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High SecurityEnterprise-grade
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DLPData protection
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Scrapfly MCP Server

Connect your Scrapfly account to any AI agent and take full control of your web data extraction and scraping orchestration through natural conversation. Scrapfly provides a professional-grade scraping API that combines headless browser rendering, premium residential proxies, and AI-driven data extraction, and this integration allows you to retrieve raw HTML, take element-level screenshots, and convert pages into structured JSON directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 12 tools from Scrapfly through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Scrapfly, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Stealth Scraper Orchestration — Retrieve clean HTML from any website while bypassing Cloudflare, Akamai, and other anti-bot systems programmatically.
  • AI-Driven Data Extraction — Use LLM-powered extraction models to transform complex web pages into structured JSON data directly from the AI interface.
  • Visual Intelligence — Capture full-page or element-specific screenshots with support for dark mode and ad-blocking via natural language.
  • Proxy & Region Control — Access millions of residential proxies across 50+ countries to ensure your data collection is always localized and reliable.
  • Operational Monitoring — Track system activity, monitor API credit consumption, and manage project metadata using simple AI commands.

The Scrapfly MCP Server exposes 12 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.

All 12 Scrapfly tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Scrapfly through Vinkius, your AI agent gets direct access to every tool listed below — spanning scrapfly, web-scraping, data-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

ai_data_extraction

Extract structured data

capture_screenshot

Take a website screenshot

check_credit_usage

Check usage stats

get_api_status

Check account info

get_project_details

Get project info

get_scraping_capabilities

Check scraping features

get_screenshot_capabilities

Check screenshot features

list_api_webhooks

List configured webhooks

list_extraction_models

List AI models

list_proxy_regions

Check proxy options

test_scrapfly_auth

Verify credentials

web_scrape

Scrape any website

Connect Scrapfly to OpenAI Agents SDK via MCP

Follow these steps to wire Scrapfly into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Scrapfly

Why Use OpenAI Agents SDK with the Scrapfly MCP Server

OpenAI Agents SDK provides unique advantages when paired with Scrapfly through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Scrapfly + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Scrapfly MCP Server delivers measurable value.

01

Automated workflows: build agents that query Scrapfly, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Scrapfly, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Scrapfly tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Scrapfly to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Scrapfly in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Scrapfly immediately.

01

"Scrape the homepage of 'https://news.ycombinator.com' and return the HTML."

02

"Scrape the product listings from the first 3 pages of an e-commerce category with pricing data."

03

"Take a full-page screenshot of our competitor's pricing page and extract the plan details."

Troubleshooting Scrapfly MCP Server with OpenAI Agents SDK

Common issues when connecting Scrapfly to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Scrapfly + OpenAI Agents SDK FAQ

Common questions about integrating Scrapfly MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.