How to Use the Trend Micro MCP in OpenAI Agents SDK

Q: What kind of audit logs can I pull with Trend Micro MCP Server and OpenAI Agents SDK?

You can pull both endpoint activity telemetry using listendpointactivitylogs and historical email activity logs using listemailactivitylogs.

Use the OpenAI Agents SDK to automate incident response with Trend Micro Vision One.

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Connect Trend Micro MCP to OpenAI Agents SDK

Create your Vinkius account to connect Trend Micro 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 Trend Micro with OpenAI Agents SDK

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Check Threat Activity

Your agent can immediately check for active threats. Run `list_recent_detections` to see every detection, or use `list_security_alerts` to get a summary of all security events. Need deeper info? You can look up specific details using `get_alert_details`. This lets your production agent confirm what happened and who needs to act next.

Audit Endpoints

Don't just trust the summary—check the logs yourself. Your AI client can search deep into device behavior using `list_endpoint_activity_logs`. It also lists all connected assets via `list_managed_endpoints`. This gives your agent a full view of what was running where, making it perfect for validating system integrity.

Investigate Suspicious Items

When something bad pops up, you gotta know the details. The `list_suspicious_objects` tool checks known threats like IPs and URLs instantly. You can also search historical email traffic using `list_email_activity_logs`. These tools let your agent perform real threat hunting actions without needing a human in the loop.

Setup guide

Set up Trend Micro 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 Trend Micro tools at runtime.
3

Create your Agent

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

Run the agent

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

The MCP Server exposes Vision One telemetry directly to your agent. This means you don't need custom connectors; the agents just call tools like `list_security_alerts` to get real-time data.

Yep. You can validate connectivity and check your organization status by calling `get_vision_one_account`. It confirms that the agent has the proper permissions to act on behalf of Trend Micro.

The server exposes various security data, including alert details, endpoint activity logs, and lists of suspicious objects (URLs, IPs, files).

No. This specific server is focused entirely on acting as a conduit for data from Trend Micro's security stack.

You can pull both endpoint activity telemetry using `list_endpoint_activity_logs` and historical email activity logs using `list_email_activity_logs`.

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