How to Use the Atera MCP in OpenAI Agents SDK

Q: Can I use OpenAI Agents SDK to list Atera alerts?

You can. Just call listalerts whenever your agent needs to check the health of your monitored devices. It returns a list of active system alerts directly into your agent's context.

Directly manage your IT infrastructure from the OpenAI Agents SDK. Connect your agent to Atera and handle tickets without leaving Python.

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Connect Atera MCP to OpenAI Agents SDK

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

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Full ticket lifecycle in OpenAI Agents SDK

Your agent handles incoming requests by calling `create_ticket` when a user reports a problem. It checks existing logs using `list_tickets` to avoid duplicates before opening a new one. Everything stays within your safety constraints. The SDK validates these calls against the Atera API schema before sending, so your agent won't trigger invalid actions.

Real-time device monitoring for OpenAI Agents SDK

Keep tabs on your fleet by using `list_agents` to pull status updates. If an agent reports a warning, your script runs `get_agent` to dig into specific hardware details. This MCP Server provides the raw data your agent needs to make decisions. You get immediate visibility into your environment without manual dashboard hopping.

Customer data access in OpenAI Agents SDK

Your agent resolves support requests faster by pulling account context with `get_customer`. It uses `list_customers` to map incoming tickets to the right organization automatically. All data passes through the agent's internal tracing. You see exactly what Atera returned, making it simple to debug your agent's logic during development.

Setup guide

Set up Atera 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 Atera tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that into your agent constructor via the mcp_servers list, and the SDK discovers all 9 tools automatically.

Yes. Every tool response is treated like standard function output, meaning your defined pydantic models or custom validation logic will catch any unexpected data from the Atera API.

You can. Just call `list_alerts` whenever your agent needs to check the health of your monitored devices. It returns a list of active system alerts directly into your agent's context.

Vinkius handles the auth layer, so your agent only sees the data authorized by your endpoint token. No secrets are stored in your agent code.

Your agent only interacts with the specific ticket and agent metadata you allow. We use a zero-trust sandbox to prevent unauthorized access to your sensitive IT records.

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