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How to Use the ValueSERP MCP in OpenAI Agents SDK

Access Real-Time Search Data for Your OpenAI Agents SDK Workflows.

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OpenAI Agents SDK

Connect ValueSERP MCP to OpenAI Agents SDK

Create your Vinkius account to connect ValueSERP 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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Deep Dive Search Capabilities (OpenAI Agents SDK)

The `custom_serp_search` tool lets your agent run highly specific Google searches using a JSON object. You control the parameters, ensuring you get exactly what's needed for the task. It also provides specialized search methods: use `google_image_search` to pull direct URLs for images, or employ `google_shopping_search` to gather product names, prices, and merchant links.

Specialized Information Retrieval via MCP Server

Need context beyond basic search results? The ValueSERP MCP Server offers tools like `get_related_questions`, which pulls 'People Also Ask' Q&As. It also provides `google_scholar_search` for academic abstracts and publications. If your agent needs to track local businesses, it uses `google_places_search`. This tool requires a specific place name and location input.

Multimedia and News Monitoring

The server doesn't stop at text. Your agent can find video content using `google_video_search`, or monitor current events with `google_news_search`. It even tracks product availability through `google_shopping_search`. For quick, actionable data, the `get_search_suggestions` tool pulls predictive autocomplete results, helping your agent refine queries on the fly.

Setup guide

Set up ValueSERP 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 ValueSERP tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives ValueSERP 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 ValueSERP 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="ValueSERP Agent",
            instructions="You have access to ValueSERP 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 ValueSERP. 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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Common questions about ValueSERP MCP in OpenAI Agents SDK

You call the `google_image_search` tool. This immediately returns direct URLs to image files found on Google, so your agent doesn't just get a snippet—it gets the actual asset path.
Yep. Use `google_places_search`. You provide a place name and location, and the tool executes a search against Google Maps data. It's perfect for agents needing geo-specific information.
The MCP Server provides ten distinct tools, covering everything from standard organic searches (`google_search`) to specialized academic lookups via `google_scholar_search`. It's a comprehensive data toolkit.
Absolutely. The `google_shopping_search` tool is built for this. It returns structured data including the product name, current price, and direct merchant links.
This server handles various forms of search data: textual organic results, image URLs, local business names and coordinates, product pricing structures, and academic abstracts.

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