How to Use the Goflow MCP in OpenAI Agents SDK

Build production-grade e-commerce agents with Goflow and OpenAI Agents SDK. Manage inventory and orders with built-in safety guardrails.

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Connect Goflow MCP to OpenAI Agents SDK

Create your Vinkius account to connect Goflow 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 Goflow with OpenAI Agents SDK

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Real-time inventory control in OpenAI Agents SDK

Stop guessing your stock levels. Your agent pulls live data directly from your store using `get_inventory` to identify what's actually sitting on the shelf. When a sale happens, fire `update_inventory` to prevent overselling. The SDK validates these adjustments against your safety constraints before the API call hits your store.

Automated order tracking for OpenAI Agents SDK

Your agent handles customer inquiries without you lifting a finger. It uses `get_order` and `list_shipments` to pull tracking numbers and delivery status instantly. Tracing every interaction in the OpenAI dashboard ensures you see exactly how the agent navigated the Goflow data. You get full visibility into every action performed by your MCP server.

Direct store insights via OpenAI Agents SDK

Query your performance metrics without logging into a dashboard. The agent runs `get_store_stats` to summarize your recent activity in plain English. Need a deep dive on specific listings? Use `list_listings` or `list_products` to get the raw specs. The agent parses this data to give you the answers you need in seconds.

Setup guide

Set up Goflow 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 Goflow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Goflow 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="Goflow Agent",
            instructions="You have access to Goflow 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 Goflow MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Pass your endpoint URL to the constructor and add the server to your Agent instance. That's all there is to it.

Yes, but you should use the cacheToolsList parameter for performance. This keeps the agent responsive when it's managing thousands of Goflow records.

Your agent fetches data directly from your store via the MCP connection. No data is stored in the agent itself, ensuring your product catalog remains private.

The OpenAI Agents SDK guardrails stop the action before it executes. This keeps your Goflow records clean and prevents accidental inventory wipes.

Your customer names and emails stay inside your Goflow instance. The agent only reads what you authorize, and every request is scoped to your specific API token.

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