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How to Use the Zenserp MCP in OpenAI Agents SDK

Get live, multi-source search results from Zenserp and integrate them into your production OpenAI Agents SDK system.

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OpenAI Agents SDK

Connect Zenserp MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zenserp to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Execute Multi-Engine Search Queries

The `search_bing`, `search_duckduckgo`, and `search_google` tools pull organic search results from major engines. Your agent can check three different sources for the same query, giving you confidence that the data is accurate. You'll use these search functions to feed real-time information into your OpenAI Agents SDK system, so you never rely on stale or single-source data.

Find Local and Visual Data

Use `search_maps` for local listings and reviews, or pull product pricing with `search_shopping`. The agent also supports visual lookups via `search_images` and general location searches using `search_google`. This lets your production agent system handle complex requests that require geo-data or e-commerce checks before completing a task.

Monitor Media and News Feeds

The server offers dedicated functions for media, including `search_news` (titles/snippets/timestamps), `search_videos`, and direct access to `search_youtube`. You can also check specialized search results via `search_yandex`. Your OpenAI Agents SDK system can monitor breaking stories or video availability without needing an external scraper running.

Setup guide

Set up Zenserp MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Zenserp tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Zenserp tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zenserp tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Zenserp Agent",
            instructions="You have access to Zenserp tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zenserp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zenserp MCP in OpenAI Agents SDK

You pass the MCP server object to your Agent constructor. The agents auto-discover all available tools, so you don't need any custom configuration code for search access.
Yep. You just call `search_maps`. The tool pulls current listings and reviews from Google Maps, letting your agent act on real-world location data right out of the box.
Absolutely. You have access to `search_bing`, `search_duckduckgo`, and `search_google`. This lets your agent compare results across three major sources in one workflow.
It provides live search engine results, image sets, video links, and structured news articles. Essentially, anything you'd find by typing it into a browser search bar.
This server handles live web search results (SERP) and structured local business listings. Your agent will be working with textual and geographic data types.

Start using the Zenserp MCP today

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