How to Use the MaintainX MCP in OpenAI Agents SDK

Q: How do I connect MaintainX to my OpenAI Agents SDK project?

You instantiate an MCPServerStreamableHttp object with your endpoint. Pass that into your agent constructor, and the tools are auto-discovered.

Directly execute maintenance workflows inside your OpenAI Agents SDK agent using this MCP Server.

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Connect MaintainX MCP to OpenAI Agents SDK

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

Ask AI about this MCP

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Claude

Perplexity

Automated work order creation

Trigger `create_new_work_order` directly from your agent logic. Your agent validates the request against your production safety constraints before the API call fires. Stop writing manual scripts. Your agent handles the ticket lifecycle while you monitor the full trace in the OpenAI dashboard.

Real-time asset state tracking

Feed `get_asset_details` and `list_maintenance_assets` into your agent memory. It pulls live metadata to determine if a machine is ready for service or currently offline. This MCP Server provides the raw data your agent needs to make informed decisions. No more guessing asset status during a shift.

Dynamic team coordination

Use `list_team_members` to map out availability. Your agent can then assign tasks to the correct technician based on the current workload detected by the system. Keep your maintenance operations moving. This tool lets your agent bridge the gap between open tickets and available labor.

Setup guide

Set up MaintainX 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 MaintainX tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Common questions about MaintainX MCP in OpenAI Agents SDK

You instantiate an `MCPServerStreamableHttp` object with your endpoint. Pass that into your agent constructor, and the tools are auto-discovered.

Yes. The SDK runs built-in guardrails on every tool call. It validates the output of `update_work_order_status` before the agent commits to the next step.

Vinkius handles the auth via your endpoint token. Your agent only sees the data it pulls through the MCP Server, keeping your MaintainX credentials isolated.

It is. Once you register the server, the SDK scans the tool definitions. You can set `cacheToolsList=True` to keep your agent's response time snappy.

The agent receives a clear error trace. You can configure your agent logic to retry or alert a human if a specific call fails.

Use it with your favorite AI tools

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OpenAI Agents SDK sdk-python

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