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Vinkius

Trend Micro MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Trend Micro through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Trend Micro "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Trend Micro?"
    )
    print(result.data)

asyncio.run(main())
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About Trend Micro MCP Server

Connect your AI agent exclusively to your Trend Micro Vision One security infrastructure. Bypass complex SIEM dashboards and interact directly with high-fidelity telemetry, XDR active detections, and structural security alerts utilizing only natural language. Allow your SOC analysts to extract network observables, check suspicious URLs, or isolate a machine's activity dynamically without writing API scripts.

Pydantic AI validates every Trend Micro tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Alert Management — Directly list active structural security alerts and dive unconditionally into specific alert_id metadata to evaluate impact
  • Endpoint Scanning — Identify and extract details connecting telemetry to physical devices by listing all your deployed and managed endpoints (Assets)
  • Threat Intelligence — Query live active indicators of compromise (IoC) mapped as suspicious objects (IPs, URLs, Files) present in your network sphere
  • Forensic Logs — Instruct your AI to hunt detailed logs surrounding targeted email workflows or deep endpoint process activities
  • Raw Detections — Observe XDR broad-level threats and raw detections that haven't been forcefully promoted to an active alert status yet

The Trend Micro MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Trend Micro to Pydantic AI via MCP

Follow these steps to integrate the Trend Micro MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 8 tools from Trend Micro with type-safe schemas

Why Use Pydantic AI with the Trend Micro MCP Server

Pydantic AI provides unique advantages when paired with Trend Micro through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Trend Micro integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Trend Micro connection logic from agent behavior for testable, maintainable code

Trend Micro + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Trend Micro MCP Server delivers measurable value.

01

Type-safe data pipelines: query Trend Micro with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Trend Micro tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Trend Micro and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Trend Micro responses and write comprehensive agent tests

Trend Micro MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Trend Micro to Pydantic AI via MCP:

01

get_alert_details

Retrieves details for a specific workbench alert

02

get_vision_one_account

Retrieves Trend Micro account and connectivity status

03

list_email_activity_logs

Searches email activity logs for threat hunting

04

list_endpoint_activity_logs

Searches endpoint activity telemetry

05

list_managed_endpoints

Lists managed endpoints (assets) connected to Vision One

06

list_recent_detections

Lists all recent security detections (XDR)

07

list_security_alerts

Lists security alerts from the Trend Micro Vision One workbench

08

list_suspicious_objects

Lists suspicious objects (URLs, IPs, files) from threat intelligence

Example Prompts for Trend Micro in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Trend Micro immediately.

01

"Check and list my managed endpoints connected to Vision One right now."

02

"Extract the details of the active security alert tagged with ID 22b-88cx."

Troubleshooting Trend Micro MCP Server with Pydantic AI

Common issues when connecting Trend Micro to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Trend Micro + Pydantic AI FAQ

Common questions about integrating Trend Micro MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Trend Micro MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Trend Micro to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.