How to Use the EZO Asset Intelligence MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK use EZO Asset Intelligence to audit assets?

Yes. You can script your agent to run quickassetvolumeaudit on a schedule. It gathers the status of all assets and reports discrepancies back to your logs.

Track equipment and manage inventory directly through your OpenAI Agents SDK production pipeline.

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Connect EZO Asset Intelligence MCP to OpenAI Agents SDK

Create your Vinkius account to connect EZO Asset Intelligence 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 EZO Asset Intelligence with OpenAI Agents SDK

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Real-time asset visibility for OpenAI Agents SDK

Your agent queries `list_managed_assets` to pull current inventory states without manual intervention. This allows your system to maintain an accurate count of all fixed assets in your database. It connects to your EZO environment, ensuring the data your agent processes matches your actual physical records. You avoid the lag of periodic manual updates by calling these tools directly.

Automated checkout monitoring

Identify missing equipment by using `list_overdue_checkouts` within your agent workflows. Your agent triggers alerts when specific items exceed their return windows. This creates a proactive audit trail for every asset. You stop chasing down equipment manually because the agent flags overdue status as soon as the API reports it.

Inventory volume analysis

Use `quick_asset_volume_audit` to get a snapshot of your entire asset pool. This tool gives your agent the context needed to report on total stock levels across all locations. Your agent parses this metadata to inform downstream decisions about procurement or rebalancing. It keeps your operational metrics grounded in current EZO data.

Setup guide

Set up EZO Asset Intelligence 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 EZO Asset Intelligence tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate EZO Asset Intelligence 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="EZO Asset Intelligence Agent",
            instructions="You have access to EZO Asset Intelligence tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EZO Asset Intelligence. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EZO Asset Intelligence MCP in OpenAI Agents SDK

You initialize an MCPServerStreamableHttp instance with your endpoint URL and pass it to your Agent constructor. The tools are discovered automatically, so you can call them immediately in your code.

Yes. You can script your agent to run `quick_asset_volume_audit` on a schedule. It gathers the status of all assets and reports discrepancies back to your logs.

The server manages the API calls to EZO.io, letting your agent handle the results. Keep in mind that large lists are processed in pages, so structure your loops accordingly.

You can define a subset of available tools during the initialization of your agent. This restricts the agent's access to only the endpoints you want it to touch.

Your asset data stays between the EZO API and your agent. The MCP server acts as a pass-through and does not store your inventory records or credentials on our infrastructure.

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