Trend Micro MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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_idmetadata 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Trend Micro integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Trend Micro with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Trend Micro tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Trend Micro and output structured, schema-compliant notifications
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:
get_alert_details
Retrieves details for a specific workbench alert
get_vision_one_account
Retrieves Trend Micro account and connectivity status
list_email_activity_logs
Searches email activity logs for threat hunting
list_endpoint_activity_logs
Searches endpoint activity telemetry
list_managed_endpoints
Lists managed endpoints (assets) connected to Vision One
list_recent_detections
Lists all recent security detections (XDR)
list_security_alerts
Lists security alerts from the Trend Micro Vision One workbench
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.
"Check and list my managed endpoints connected to Vision One right now."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTrend Micro + Pydantic AI FAQ
Common questions about integrating Trend Micro MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Trend Micro with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
