How to Use the Wine Pairing & Sommelier MCP in OpenAI Agents SDK

Instantly pair wines and dishes for production agents using the OpenAI Agents SDK.

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Connect Wine Pairing & Sommelier MCP to OpenAI Agents SDK

Create your Vinkius account to connect Wine Pairing & Sommelier 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 Wine Pairing & Sommelier with OpenAI Agents SDK

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Pairing Wine with Food (MCP Server)

Need to know what wine goes with steak or pasta? Use `get_wine_pairing` to get expert recommendations. It doesn't just suggest a pairing; it provides specific product names, ratings, and prices you can use right away. This tool makes sure your agent always suggests the perfect liquid match for any dish or ingredient.

Finding Dishes for Wine

Doesn't have a plan yet? Just input a wine type—say, Merlot or Riesling. The `get_dish_for_wine` tool returns expert dish pairing ideas. You get actionable suggestions that fit the profile of the bottle. This helps your agent move from 'what wine is this?' to 'what should we eat with it?' instantly.

Sourcing Wine Recommendations

Building a retail experience? The `recommend_wines` tool pulls specific product data, including ratings and prices. You feed the agent these results so it can make concrete suggestions. Your agent uses this structured output to recommend top-rated bottles directly to the user.

Setup guide

Set up Wine Pairing & Sommelier 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 Wine Pairing & Sommelier tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Wine Pairing & Sommelier MCP in OpenAI Agents SDK

The MCP Server exposes four tools your AI client auto-discovers. You just ask for a pairing, and the agent handles running the correct tool—like finding the perfect dish or recommending specific bottles.

Absolutely. Because this is a production-grade MCP Server, it's built for reliable use cases. You can trust the recommendations whether you're handling small boutique lists or major inventory data.

Yes. The pairing logic is based on wine profiles (e.g., Pinot Noir, Chardonnay) and food groups (steak, salmon). It doesn't require regional input to give expert advice.

It interacts primarily with structured product and pairing metadata. The data types include wine names, dish names, ratings (float), and prices (currency).

You'll use the asynchronous context manager provided by the client setup. This ensures that agent actions—from finding a dish to getting wine descriptions—are tracked and managed safely.

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