How to Use the Trend Micro MCP in LlamaIndex

Q: How does Trend Micro data improve RAG with LlamaIndex?

By indexing the structured output from tools like listmanagedendpoints, you ensure your answers are grounded in real API data. The knowledge base doesn't hallucinate; it pulls directly from Vision One telemetry.

Q: What specific types of logs can I index with Trend Micro and LlamaIndex?

You can index endpoint activity logs, security alerts (listsecurityalerts), and the results of threat object lookups, giving you a deep historical view.

Q: Can I use MCP Server to query configurations from Trend Micro and LlamaIndex?

Yes. You can retrieve account connectivity status using getvisiononeaccount, and then index that result for later, knowledge-based querying.

Ground RAG applications for LlamaIndex by indexing Vision One data.

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Connect Trend Micro MCP to LlamaIndex

Create your Vinkius account to connect Trend Micro to LlamaIndex 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 LlamaIndex

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Search through past security incidents with MCP Server.

The `list_security_alerts` tool pulls current alerts from Trend Micro, but the real power comes when you index that output. You can query past sessions and find answers grounded in actual alert data, not just general knowledge. This makes your RAG application a searchable historical record of security incidents. You ask about an incident from six months ago, and LlamaIndex retrieves the specific details.

Build knowledge bases for LlamaIndex.

You can index endpoint activity telemetry using `list_endpoint_activity_logs`. Instead of just displaying a log dump, your developer builds an index that lets you semantically search the *meaning* of the activity. This is huge for auditing. It turns raw data into knowledge. You ask: 'Show me all network actions related to asset X last quarter,' and the system returns grounded answers.

Cross-reference threats with MCP Server.

When you use `list_suspicious_objects`, you get a list of bad URLs or IPs. Indexing this data allows your knowledge base to answer questions like, 'Did any of our endpoints interact with any objects listed in the last month?' It gives context and historical perspective that simple live API calls can't match.

Setup guide

Set up Trend Micro MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Trend Micro MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Trend Micro tools.",
)
response = await agent.run("List recent Trend Micro data")

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Common questions about Trend Micro MCP in LlamaIndex

By indexing the structured output from tools like `list_managed_endpoints`, you ensure your answers are grounded in real API data. The knowledge base doesn't hallucinate; it pulls directly from Vision One telemetry.

You can index endpoint activity logs, security alerts (`list_security_alerts`), and the results of threat object lookups, giving you a deep historical view.

The MCP Server provides structured telemetry—metadata about assets and alerts. Your developer is working with machine-readable security artifacts, not sensitive personal communications.

Yes. You can retrieve account connectivity status using `get_vision_one_account`, and then index that result for later, knowledge-based querying.

You are indexing threat artifacts (IPs, URLs, activity logs). This focuses on system behavior and security posture, keeping the scope limited to necessary operational data.

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