How to Use the Trend Micro MCP in CrewAI

Q: How does Trend Micro assist with complex alerts using CrewAI?

The system uses a specialized workflow: first, calling listsecurityalerts to identify the scope of issues. Then, subsequent agents pull details via getalertdetails for root cause analysis.

Q: Can my crew audit endpoint activity using Trend Micro and CrewAI?

Yes. One agent runs listmanagedendpoints, providing the asset pool, which another agent then uses to call listendpointactivitylogs for complete coverage.

Q: How do I automate threat hunting with Trend Micro and CrewAI?

The 'Hunter' agent can check suspicious objects using listsuspiciousobjects. This capability allows the team to automatically vet IPs, URLs, or files against known threats.

Q: What tools are available for listing detections in Trend Micro and CrewAI?

The primary tool is listrecentdetections, which pulls all XDR findings. You can supplement this by using general alerts with listsecurityalerts to ensure no detection was missed.

Run autonomous threat response teams with CrewAI and the MCP Server.

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Connect Trend Micro MCP to CrewAI

Create your Vinkius account to connect Trend Micro to CrewAI 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 CrewAI

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Autonomous Detection Analysis via MCP Server

The 'Analyst' agent can run `list_recent_detections` to gather all XDR data. The 'Investigator' agent then uses `get_alert_details` to dive deep into the most critical findings, structuring a full incident report autonomously.

Coordinated Asset Inventory and Logging

The 'Auditor' agent runs `list_managed_endpoints` to build an asset list. Then, it passes that list to the 'Logger' agent, which uses `list_endpoint_activity_logs` for comprehensive telemetry gathering across all devices.

Multi-Step Threat Intelligence Gathering

The 'Threat Hunter' agent can coordinate multiple data pulls. It first runs `list_suspicious_objects`, and if findings are returned, it immediately tasks the 'Researcher' agent to check related email history using `list_email_activity_logs`.

Setup guide

Set up Trend Micro MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Trend Micro tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Trend Micro Analyst",
    goal="Access and analyze Trend Micro data via MCP.",
    backstory="Expert analyst with direct Trend Micro access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Trend Micro transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Trend Micro Analyst",
        goal="Access and analyze Trend Micro data via MCP.",
        backstory="Expert analyst with direct Trend Micro access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Trend Micro transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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.

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Common questions about Trend Micro MCP in CrewAI

The system uses a specialized workflow: first, calling `list_security_alerts` to identify the scope of issues. Then, subsequent agents pull details via `get_alert_details` for root cause analysis.

Yes. One agent runs `list_managed_endpoints`, providing the asset pool, which another agent then uses to call `list_endpoint_activity_logs` for complete coverage.

The 'Hunter' agent can check suspicious objects using `list_suspicious_objects`. This capability allows the team to automatically vet IPs, URLs, or files against known threats.

The primary tool is `list_recent_detections`, which pulls all XDR findings. You can supplement this by using general alerts with `list_security_alerts` to ensure no detection was missed.

The MCP Server touches endpoint activity telemetry, security alerts, and suspicious objects. The data includes machine names, user IDs, network indicators (IPs/URLs), and file hashes.

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