Oxylabs SERP MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Oxylabs SERP 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="Oxylabs SERP Assistant",
instructions=(
"You help users interact with Oxylabs SERP. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Oxylabs SERP"
)
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 Oxylabs SERP MCP Server
Bring the Oxylabs SERP Scraper API directly into your AI workflows. Perform high-volume, structured data extraction across all major search engines without worrying about proxy rotation, CAPTCHAs, or HTML parsing.
The OpenAI Agents SDK auto-discovers all 10 tools from Oxylabs SERP through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Oxylabs SERP, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Google Ecosystem — Extract parsed data from Google Search (organic, snippets), Google Images, Google News, Google Shopping, Google Scholar, and Google Travel/Hotels
- Bing Search — Extract organic search rankings and rich snippets from Microsoft Bing
- Yandex Search — Scrape the leading Russian search engine for regional SEO analysis
- Baidu Search — Extract search engine results pages from China's leading search provider
- YouTube Search — Parse video rankings, channel details, and views from YouTube search results
The Oxylabs SERP 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 SERP to OpenAI Agents SDK via MCP
Follow these steps to integrate the Oxylabs SERP 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 10 tools from Oxylabs SERP
Why Use OpenAI Agents SDK with the Oxylabs SERP MCP Server
OpenAI Agents SDK provides unique advantages when paired with Oxylabs SERP 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
Oxylabs SERP + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Oxylabs SERP MCP Server delivers measurable value.
Automated workflows: build agents that query Oxylabs SERP, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Oxylabs SERP, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Oxylabs SERP tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Oxylabs SERP to resolve tickets, look up records, and update statuses without human intervention
Oxylabs SERP MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Oxylabs SERP to OpenAI Agents SDK via MCP:
baidu_search
Inspect deep internal arrays mitigating specific Plan Math
bing_search
Dispatch an automated validation check routing explicit Gateway history
google_images_search
Perform structural extraction of properties driving active Account logic
google_news_search
Provision a highly-available JSON Payload generating hard Customer bindings
google_scholar_search
Irreversibly vaporize explicit validations extracting rich Churn flags
google_search
Identify bounded CRM records inside the Headless Oxylabs SERP Platform
google_shopping_search
Retrieve explicit Cloud logging tracing explicit Vault limits
google_travel_search
Enumerate explicitly attached structured rules exporting active Billing
yandex_search
Identify precise active arrays spanning native Gateway auth
youtube_search
Identify precise active arrays spanning native Hold parsing
Example Prompts for Oxylabs SERP in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Oxylabs SERP immediately.
"Search Google for 'best enterprise LLMs' and summarize the top organic results."
"Check Google Travel for hotels in Tokyo next weekend."
"Search YouTube for 'Next.js 15 tutorials'."
Troubleshooting Oxylabs SERP MCP Server with OpenAI Agents SDK
Common issues when connecting Oxylabs SERP to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Oxylabs SERP + OpenAI Agents SDK FAQ
Common questions about integrating Oxylabs SERP 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 Oxylabs SERP 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 Oxylabs SERP to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.