Winevybe MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Winevybe through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Winevybe Assistant",
instructions=(
"You help users interact with Winevybe. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Winevybe"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Winevybe MCP Server
Connect your Winevybe developer account to any AI agent and take full control of sommelier intelligence and wine inventory tracking through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Winevybe through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Winevybe, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Sommelier Recommender — Query for specific wine pairings and tasting notes magically linked behind intelligent algorithms
- Inventory Management — Read and append bottle quantities to persistent user cellars safely via automated workflows
- Vintage Auditing — Cross-reference a specific year to see if the region's climate conditions yielded good harvests
- Pricing Comparisons — Compare distinct bottles instantly to analyze pricing versus critical community reception
- Vineyard Profiling — Retrieve the underlying history and details of major worldwide producers and regions
The Winevybe MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Winevybe to OpenAI Agents SDK via MCP
Follow these steps to integrate the Winevybe MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Winevybe
Why Use OpenAI Agents SDK with the Winevybe MCP Server
OpenAI Agents SDK provides unique advantages when paired with Winevybe through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Winevybe + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Winevybe MCP Server delivers measurable value.
Automated workflows: build agents that query Winevybe, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Winevybe, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Winevybe tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Winevybe to resolve tickets, look up records, and update statuses without human intervention
Winevybe MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Winevybe to OpenAI Agents SDK via MCP:
add_wine_to_cellar
Add a purchased bottle into a users virtual cellar tracker
compare_wines
Generate a side-by-side contrast of two bottles
get_pairings
Get food pairing recommendations for a specific wine
get_region_info
Retrieve details about wine-making appellations
get_reviews
Get community tasting reviews and ratings
get_user_cellar
Examine the inventory of an authenticated users wine cellar
get_vintage_scores
Get an overview of harvest qualities by year
get_wine_detail
Get profound tasting notes and stats on a specific wine
get_winery_info
Get profiles of specific vineyards and producers
search_wines
Search the Winevybe database for specific bottles
Example Prompts for Winevybe in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Winevybe immediately.
"Search for details on the Screaming Eagle Cabernet Sauvignon."
"Compare wine 4902 and wine 5910."
"Check my virtual cellar inventory."
Troubleshooting Winevybe MCP Server with OpenAI Agents SDK
Common issues when connecting Winevybe to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Winevybe + OpenAI Agents SDK FAQ
Common questions about integrating Winevybe MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Winevybe with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Winevybe to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.