VineRadar MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect VineRadar through the 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="VineRadar Assistant",
instructions=(
"You help users interact with VineRadar. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from VineRadar"
)
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 VineRadar MCP Server
Empower your AI agent to orchestrate your entire wine research and vineyard auditing workflow with VineRadar, the comprehensive platform for global wine data. By connecting VineRadar to your agent, you transform complex varietal searches into a natural conversation. Your agent can instantly search for specific wines, audit vineyard locations, and retrieve detailed vintage metadata without you ever touching a wine app. Whether you are building a personal cellar or conducting market research on varietals, your agent acts as a real-time sommelier, ensuring your data is always detailed and well-categorized.
The OpenAI Agents SDK auto-discovers all 6 tools from VineRadar through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries VineRadar, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Wine Auditing — Search for thousands of wines by name or keyword and retrieve detailed metadata, including ratings and vintages.
- Vineyard Oversight — Browse vineyard profiles by location to maintain a clear view of regional wine production.
- Varietal Discovery — Query wine varietals to understand the technological and regional distribution of specific grape types instantly.
- Vintage Intelligence — Retrieve full details for specific wine IDs to assist in deep-dive collection audits.
- Market Monitoring — List all supported varietals in the VineRadar catalog to identify trending wine themes in real-time.
The VineRadar MCP Server exposes 6 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 VineRadar to OpenAI Agents SDK via MCP
Follow these steps to integrate the VineRadar 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 6 tools from VineRadar
Why Use OpenAI Agents SDK with the VineRadar MCP Server
OpenAI Agents SDK provides unique advantages when paired with VineRadar 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
VineRadar + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the VineRadar MCP Server delivers measurable value.
Automated workflows: build agents that query VineRadar, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries VineRadar, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through VineRadar tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query VineRadar to resolve tickets, look up records, and update statuses without human intervention
VineRadar MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect VineRadar to OpenAI Agents SDK via MCP:
check_api_status
Check if the VineRadar API is operational
get_vineyard_details
Get full details for a specific vineyard by ID
get_wine_details
Get full details for a specific wine by ID
list_wine_varietals
List all wine varietals supported by VineRadar
search_vineyards
Search for vineyards by location
search_wines
Search for wines by name or keyword
Example Prompts for VineRadar in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with VineRadar immediately.
"Search for 'Cabernet Sauvignon' wines using VineRadar."
"Find vineyards in 'Napa Valley'."
"What are the details for wine ID 12345?"
Troubleshooting VineRadar MCP Server with OpenAI Agents SDK
Common issues when connecting VineRadar to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
VineRadar + OpenAI Agents SDK FAQ
Common questions about integrating VineRadar 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 VineRadar 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 VineRadar to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.