How do I get an EZO API Key?

Log in to your EZO.io account, navigate to **Settings > API Integration**, and you can enable the API and retrieve your unique **Secret API Key**. You also need your **Subdomain** (the prefix in your account URL).

Does the integration support multiple locations?

Yes, you can use the list_asset_locations tool to see all physical sites and sub-locations configured in your EZO account, and filter assets by location.

Can the agent perform asset checkouts?

This integration currently focuses on listing and auditing assets, inventory, and members. Performing live checkouts or scanning barcodes should be managed via the EZO.io mobile app or web interface.

EZO Asset Intelligence MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: EZO Asset Intelligence
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EZO Asset Intelligence through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="EZO Asset Intelligence Assistant",
            instructions=(
                "You help users interact with EZO Asset Intelligence. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from EZO Asset Intelligence"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 EZO Asset Intelligence MCP Server

Integrate EZO.io (formerly EZOfficeInventory), the world's most popular asset management platform, directly into your AI workflow. Manage your fixed asset database and physical locations, track consumable inventory and real-time stock levels, monitor active checkouts and reservations, and oversee your entire asset lifecycle using natural language.

The OpenAI Agents SDK auto-discovers all 10 tools from EZO Asset Intelligence through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries EZO Asset Intelligence, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Asset Oversight — List and retrieve detailed information, identifiers, and maintenance history for all your managed assets.
Inventory Intelligence — Monitor consumable inventory items, resolving available quantities and stock thresholds across your organization.
Checkout Management — Access and monitor currently checked out assets, identifying assigned members and expected return dates.
Asset Auditing — Retrieve high-level summaries of asset volume, location distribution, and organizational resource health instantly.

The EZO Asset Intelligence MCP Server exposes 10 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 EZO Asset Intelligence to OpenAI Agents SDK via MCP

Follow these steps to integrate the EZO Asset Intelligence 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 10 tools from EZO Asset Intelligence

Why Use OpenAI Agents SDK with the EZO Asset Intelligence MCP Server

OpenAI Agents SDK provides unique advantages when paired with EZO Asset Intelligence 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

EZO Asset Intelligence + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the EZO Asset Intelligence MCP Server delivers measurable value.

Automated workflows: build agents that query EZO Asset Intelligence, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries EZO Asset Intelligence, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through EZO Asset Intelligence tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query EZO Asset Intelligence to resolve tickets, look up records, and update statuses without human intervention

EZO Asset Intelligence MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect EZO Asset Intelligence to OpenAI Agents SDK via MCP:

get_asset_detailed_data

Get detailed settings and information for a specific asset

get_ezo_account_metadata

Retrieve metadata and limits for your EZO account

list_account_members

List all members and users registered in your organization

list_asset_locations

List all physical locations and sub-locations configured in your account

list_available_assets

Identify assets that are currently available for checkout

list_consumable_inventory

List all consumable inventory items and their stock levels

list_currently_checked_out_assets

Identify all assets that are currently checked out to members

list_managed_assets

g. available, checked out) from the EZO API. List all fixed assets managed in your EZO account

list_overdue_checkouts

Identify assets that are past their expected return date (mock logic)

quick_asset_volume_audit

Retrieve a high-level summary of assets, inventory, and members

Example Prompts for EZO Asset Intelligence in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with EZO Asset Intelligence immediately.

"List all assets currently checked out."

"Show me our inventory levels for 'Ethernet Cables'."

"Check for overdue asset returns."

Troubleshooting EZO Asset Intelligence MCP Server with OpenAI Agents SDK

Common issues when connecting EZO Asset Intelligence to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

EZO Asset Intelligence + OpenAI Agents SDK FAQ

Common questions about integrating EZO Asset Intelligence MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.