How to Use the VineRadar MCP in OpenAI Agents SDK

Q: How do I search for vineyards using VineRadar with OpenAI Agents SDK?

You execute the searchvineyards tool and pass in a location. The agent returns a list of matching properties, giving you structured data you can process immediately.

Q: Can I list all available varietals using VineRadar with OpenAI Agents SDK?

Absolutely. Call the listwinevarietals tool to pull a complete inventory of every wine type supported by VineRadar in one go. It's perfect for building reference tables.

Q: How do I check which tools are available on this MCP Server?

Your agent auto-discovers all the methods, like getwinedetails and searchwines, so you don't have to manually list them. The setup handles that discovery for you.

Connect VineRadar to your OpenAI Agents SDK, giving your agents real-world wine data access.

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Connect VineRadar MCP to OpenAI Agents SDK

Create your Vinkius account to connect VineRadar 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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Setup VineRadar with OpenAI Agents SDK

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Audit Vineyard Data Live

Need the deep background on a specific property? Use `get_vineyard_details` to pull all the necessary information for any given ID. You'll get full details, making sure your agent has everything it needs before moving on. It works this way: Your agent calls the tool with an ID, and you instantly receive structured data about that vineyard's history and location.

Find Wines by Name or Keyword

Searching for a wine shouldn't be guesswork. The `search_wines` tool lets your agent find specific bottles just by name or a general keyword. It returns immediate results, letting you narrow down options fast. This is better than basic search boxes because it provides structured output that your subsequent agents can immediately act on.

Check API Health Status

Before running a big batch job, always check the connection. Use `check_api_status` to confirm the VineRadar API is up and ready to go. This prevents your agent from failing silently because of network issues. It's a quick call that gives you confidence in your setup. You run it at the start, and if the status check passes, you know you can trust the rest of the process.

Setup guide

Set up VineRadar 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

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

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 VineRadar tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives VineRadar tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate VineRadar 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="VineRadar Agent",
            instructions="You have access to VineRadar tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VineRadar. 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 VineRadar MCP in OpenAI Agents SDK

You execute the `search_vineyards` tool and pass in a location. The agent returns a list of matching properties, giving you structured data you can process immediately.

The tools validate the input against known varietals. If it's not supported, the API returns a clear error, so your agent doesn't try to process garbage data.

Yes. This server handles vineyard and wine details (text strings). The connection uses an endpoint token for authentication, ensuring only authorized agents can access this information through your AI client.

Absolutely. Call the `list_wine_varietals` tool to pull a complete inventory of every wine type supported by VineRadar in one go. It's perfect for building reference tables.

Your agent auto-discovers all the methods, like `get_wine_details` and `search_wines`, so you don't have to manually list them. The setup handles that discovery for you.

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