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Oxylabs MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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="Oxylabs Assistant",
            instructions=(
                "You help users interact with Oxylabs. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
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About Oxylabs MCP Server

Give your AI agent the ability to extract structured data from any website with Oxylabs Web Scraping API. Scrape Google, Amazon, Bing, and Yandex with specialized parsers, or hit any arbitrary URL with the universal scraper — with optional headless browser rendering.

The OpenAI Agents SDK auto-discovers all 10 tools from Oxylabs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Oxylabs, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Universal Scraper — Extract HTML from any website. Enable JS rendering for single-page apps that require client-side execution
  • Google Search — Parse Google SERPs with organic rankings, knowledge panels, ads, and featured snippets, localized by country TLD
  • Google Shopping — Extract product listings with merchants, prices, reviews, and availability from Google Shopping
  • Google Images — Pull image URLs, dimensions, and hosting origins from Google Image Search
  • Google News — Extract time-indexed news articles with publishers and publication dates
  • Amazon Search — Scrape Amazon product listings with ASINs, prices, Prime markers, and seller data across regional domains
  • Amazon Product — Deep-extract individual product pages with variations, stock states, bullet points, and vendor hierarchies
  • Bing Search — Parse Bing SERPs with organic web graph snippets
  • Yandex Search — Extract rankings from the Yandex search engine for CIS/RU market analysis
  • Custom Payload — Send fully customized Oxylabs schema payloads for advanced proxy and location configurations

The Oxylabs MCP Server exposes 10 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 Oxylabs to OpenAI Agents SDK via MCP

Follow these steps to integrate the Oxylabs MCP Server with OpenAI Agents SDK.

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 10 tools from Oxylabs

Why Use OpenAI Agents SDK with the Oxylabs MCP Server

OpenAI Agents SDK provides unique advantages when paired with Oxylabs 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

Oxylabs + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Oxylabs MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Oxylabs to OpenAI Agents SDK via MCP:

01

scrape_amazon_product

Extract deep E-Commerce retail arrays extracting arbitrary Amazon ASINs

02

scrape_amazon_search

Perform structured data extraction looping over Amazon query listings

03

scrape_bing_serp

Calculate and extract structured Bing Search Web mappings

04

scrape_custom_payload

oxylabs.io/v1/queries` customizing Proxy Types, Locations and deeply nested config params. Dispatch entirely arbitrary strict Oxylabs Payload JSON structures

05

scrape_google_images

Parse and Scrape specific Google Image Search layout blocks

06

scrape_google_news

Export time-indexed News articles via Google News blocks

07

scrape_google_serp

Extract Google Search Engine Results Page (SERP) blocks structurally

08

scrape_google_shopping

Extract E-Commerce structures hitting Google Shopping engines

09

scrape_universal

oxylabs.io/v1/queries` endpoint mapping `source=universal`. Dynamically extracts raw remote HTML safely avoiding proxy blocks. Use `js_render=true` explicitly if the target SPA strictly requires client rendering. Scrape any arbitrary HTML website using Oxylabs Universal Scraper API

10

scrape_yandex_serp

Execute structural analysis indexing Yandex Search instances

Example Prompts for Oxylabs in OpenAI Agents SDK

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

01

"Search Google for 'best noise cancelling headphones 2024' and show me the top 5 organic results."

02

"Get the full product details for Amazon ASIN B0C8PSXB2M."

03

"Scrape the homepage of techcrunch.com with JavaScript rendering enabled."

Troubleshooting Oxylabs MCP Server with OpenAI Agents SDK

Common issues when connecting Oxylabs 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.

Oxylabs + OpenAI Agents SDK FAQ

Common questions about integrating Oxylabs 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.

Connect Oxylabs to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.