How to Use the Amplifier MCP in OpenAI Agents SDK

Direct order fulfillment for your OpenAI Agents SDK projects. Connect to your inventory and ship products without leaving the code.

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Connect Amplifier MCP to OpenAI Agents SDK

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

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Manage your store via OpenAI Agents SDK

Stop manually pushing data to your fulfillment backend. This MCP Server lets your agent trigger `create_order` directly, ensuring your logic flows from intent to execution in one pass. Your production agent monitors the response, logging every step through the built-in tracing. It keeps the process clean, avoiding the mess of custom API wrappers.

Get live stock with OpenAI Agents SDK

Call `get_inventory_report` to pull current warehouse levels straight into your agent logic. It forces the model to work with real-time counts instead of stale cached figures. This keeps your inventory logic grounded. When the agent checks `list_items`, it sees exactly what is sitting on the shelf right now.

Track shipments in OpenAI Agents SDK

Use `get_shipment_report` to pull tracking data into your agent loop. It gives the model immediate access to delivery status without context switching. Your agent parses the metadata from `get_order_details` to handle inquiries. It handles the heavy lifting of fulfillment status updates automatically.

Setup guide

Set up Amplifier 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 Amplifier tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate the server using the HTTP streamable class and pass it into the agent constructor. The SDK picks up the tools automatically, letting your agent call them as functions.

Yes. The server is built for high-uptime environments where agents need reliable access to order data. Just enable cacheToolsList to keep things snappy.

It does. Because the tools are defined as standard functions, the SDK validates the arguments against your schema before the server ever touches the data.

Map the inventory report tool to your agent's state management. This ensures the model always has the latest count before it attempts to finalize a customer order.

We use encrypted transit for all calls. Your order records and shipment addresses stay strictly within your secure environment, accessible only to the agent instances you authorize.

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