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How to Use the Trend Micro MCP in Mastra AI

Build resilient security workflows with Mastra AI and the MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Trend Micro MCP to Mastra AI

Create your Vinkius account to connect Trend Micro to Mastra AI 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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Building Automated Threat Investigations

You can write a workflow that first checks for general warnings using `list_security_alerts`. If alerts exist, the next step calls `get_alert_details` to pull specifics. This multi-step process handles incident response from initial detection through deep data retrieval.

Endpoint Forensics with Mastra AI

Need to trace an issue? Build a workflow that starts by listing assets via `list_managed_endpoints`. Then, for each asset, run the tool that calls `list_endpoint_activity_logs`. This creates a robust audit trail across multiple machines.

Proactive Threat Hunting in Mastra AI

Set up a workflow to check suspicious items automatically. The agent runs `list_suspicious_objects` and then can conditionally run `list_recent_detections` if any high-risk objects are found. This handles proactive threat analysis with built-in failure retries.

Setup guide

Set up Trend Micro MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Trend Micro tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "trend-micro-mcp-client",
  servers: {
    "trend-micro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Trend Micro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Trend Micro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Trend Micro transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Trend Micro. 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.

Why Choose Vinkius

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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%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Trend Micro MCP in Mastra AI

Build a workflow that first calls `list_security_alerts`. If the count is above zero, the agent then runs `get_alert_details` to gather enough context to trigger an automated notification step.
Start by running `get_vision_one_account` to confirm connectivity. If successful, the workflow can then proceed to check activity logs via `list_endpoint_activity_logs` for any suspicious user behavior.
The agent executes a dedicated step calling `list_email_activity_logs`. This allows you to define conditional logic: if specific keywords are found, then notify an administrator.
Yes. The workflow should use `list_managed_endpoints` first. This provides the required input list for subsequent calls like `list_endpoint_activity_logs`, ensuring you don't miss any assets.
This MCP Server touches endpoint activity telemetry, security alerts, and email logs. The collected data includes device names, user IDs, and specific network artifacts.

Start using the Trend Micro MCP today

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