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How to Use the Winevybe MCP in OpenAI Agents SDK

Run expert sommelier intelligence directly in your production agents using OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Winevybe MCP to OpenAI Agents SDK

Create your Vinkius account to connect Winevybe 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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Track and Manage Virtual Cellars

Need to know what's in the cellar? Use `get_user_cellar` to examine an authenticated user’s wine inventory. Your agent reads out every bottle, making sure your system always knows its stock levels. It handles all the heavy lifting of tracking purchases and current holdings so you don't have to build that logic yourself. You just call `add_wine_to_cellar` when a user buys something new.

Deep Wine Comparison & Pairing

Want to compare two bottles? The `compare_wines` tool generates a side-by-side contrast, perfect for decision support. It's faster and more detailed than just pulling up individual specs. Plus, you can pass in the wine name to `get_pairings`. Your agent instantly gets food recommendations, so your users never guess what goes with their Cabernet.

Search Global Wine Data

Start by finding a specific bottle. The `search_wines` tool queries the global catalog for bottles that match criteria. It gives you a solid starting point before diving into specifics. Once you find it, use `get_wine_detail` to pull deep tasting notes and stats on the wine. This lets your agent give highly informed, expert-level advice.

Setup guide

Set up Winevybe 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 Winevybe tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Winevybe 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 Winevybe 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="Winevybe Agent",
            instructions="You have access to Winevybe 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 Winevybe. 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.

Why Choose Vinkius

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

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

Common questions about Winevybe MCP in OpenAI Agents SDK

To examine a user’s current holdings, call the `get_user_cellar` tool. This instantly pulls up all the bottles tracked in their virtual cellar. It's reliable for ensuring your agent has accurate stock data.
Yep, you use the `get_pairings` tool. Just feed it a specific wine name or ID, and it spits out actionable food pairings. This keeps your agent useful beyond just catalog lookups.
The server handles various data types, including detailed wine profiles from `get_wine_detail` and vineyard information via `get_winery_info`. It’s built to give your agent rich context on everything from appellations to tasting notes.
The tools allow you to search, compare, and manage inventory. You can’t process images or run external API calls; your agent is limited strictly to the functions exposed by the MCP Server.
This server primarily interacts with structured **wine inventory records**, including bottle details, user cellar counts, and tasting scores.

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