Vinsight MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Vinsight 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="Vinsight Assistant",
instructions=(
"You help users interact with Vinsight. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Vinsight"
)
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 Vinsight MCP Server
Connect your Vinsight operation to any AI agent and manage your entire beverage production business through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Vinsight through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Vinsight, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Stock Items — Search your product catalog: wines, beers, spirits, and raw materials with pricing and compliance codes
- Sales Orders — Track orders: customer, items, totals, status, and shipping across all channels
- Production Orders — Monitor production runs: input materials, output products, vessel assignments
- Batches — Track individual lots through the production lifecycle with batch codes and vintage
- Vessels — Monitor tanks, fermenters, barrels, and bright tanks with capacity and fill levels
- Lab Results — View QC analyses: pH, TA, alcohol, SO₂, dissolved oxygen, and residual sugar
- Inventory — Real-time stock levels across all warehouses: available, committed, and on-order
- Contacts — Manage customers, suppliers, and distributors
- Purchase Orders — Track incoming materials: grapes, bottles, corks, chemicals
The Vinsight MCP Server exposes 12 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 Vinsight to OpenAI Agents SDK via MCP
Follow these steps to integrate the Vinsight 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 12 tools from Vinsight
Why Use OpenAI Agents SDK with the Vinsight MCP Server
OpenAI Agents SDK provides unique advantages when paired with Vinsight 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
Vinsight + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Vinsight MCP Server delivers measurable value.
Automated workflows: build agents that query Vinsight, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Vinsight, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Vinsight tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Vinsight to resolve tickets, look up records, and update statuses without human intervention
Vinsight MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Vinsight to OpenAI Agents SDK via MCP:
get_sales_order
Get order details
get_stock_item
The definitive product record. Get product details
list_batches
Track individual lots through the production lifecycle. List production batches
list_lab_results
Sorted by date. For quality control and compliance monitoring. List lab analysis results
list_production_orders
Tracks the winemaking or brewing process. List production orders
list_purchase_orders
Supply chain tracking for production inputs. List purchase orders
list_sales_orders
Core revenue tracking for wineries and breweries. List sales orders
list_stock_levels
Critical for fulfillment and reorder decisions. List current inventory
list_vessels
With capacity, current contents, fill level, and location. For cellar space planning. List tanks and barrels
list_warehouses
For multi-site inventory management. List warehouses
search_contacts
Returns contact profile, type, addresses, payment terms, and order history. Search contacts
search_stock_items
Returns product details including SKU, description, unit of measure, price, tax code, and current stock level. Works for wine, beer, spirits, and raw materials. Search wine/beer/spirit products
Example Prompts for Vinsight in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vinsight immediately.
"What's our current Chardonnay 2024 inventory?"
"Create a new production order to blend 500L of 'Batch 44' into Tank 12."
"Check the latest lab results for the Pinot Noir fermentations in Tank B."
Troubleshooting Vinsight MCP Server with OpenAI Agents SDK
Common issues when connecting Vinsight to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Vinsight + OpenAI Agents SDK FAQ
Common questions about integrating Vinsight 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 Vinsight 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 Vinsight to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.