Trend Vision One MCP Server

The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs.

This allows users to harness the power of Large Language Models (LLM) to interpret and respond to security events.

Example Use Cases

1. Automating the retrieval and interpretation of security alerts from various Trend Vision One such tools as Workbench, Cloud Posture, and File Security.
2. Allowing LLMs to gather information about security events and generate meaningful recommendations.
3. Automating workflows to enhance the configuration of Trend Vision One services.
4. Interacting with Trend Vision One web APIs without having to learn yet another company's APIs.

Security

1. Your Trend Vision One API keys should be configured with minimial permissions.
2. By default the MCP server runs in read-only mode. Be careful when running the server with readonly=false as it may have irreversible consequences.
3. Data retrieved using the MCP server is processed by the LLM configured in your AI tooling. It is your responsibility to ensure that this LLM is approved by your company for processing sensitive data.
4. This MCP server is only intended to be used with local integrations and command-line tools via the Standard Input/Output transport. You should never expose this tool to the network.

Getting Started

Prerequisites

1. You must have a Trend Vision One account and API key.
2. You must have credits allocated for the services you wish to interact with.
3. Have Docker installed.
4. Have the latest version of Visual Studio Code installed.

Use With VSCode + GitHub Copilot

Open the following link in your browser to automatically install the server configuration in Visual Studio Code.

vscode:mcp/install?%7B%22name%22%3A%22trend-vision-one-mcp%22%2C%22inputs%22%3A%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22trend-vision-one-api-key%22%2C%22description%22%3A%22Trend%20Vision%20One%20API%20Key%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22trend-vision-one-region%22%2C%22description%22%3A%22Trend%20Vision%20One%20Region%22%7D%5D%2C%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22-e%22%2C%22TREND_VISION_ONE_API_KEY%22%2C%22ghcr.io%2Ftrendmicro%2Fvision-one-mcp-server%22%2C%22-region%22%2C%22%24%7Binput%3Atrend-vision-one-region%7D%22%2C%22-readonly%3Dtrue%22%5D%2C%22env%22%3A%7B%22TREND_VISION_ONE_API_KEY%22%3A%22%24%7Binput%3Atrend-vision-one-api-key%7D%22%7D%7D

When prompted, enter your Vision One API Key and your Vision One region.

Alternatively, copy the following into your settings.json.

{
    "mcp": {
        "inputs": [
            {
                "type": "promptString",
                "id": "trend-vision-one-api-key",
                "description": "Trend Vision One API Key",
                "password": true
            },
            {
                "type": "promptString",
                "id": "trend-vision-one-region",
                "description": "Trend Vision One Region"
            }
        ],
        "servers": {
            "trend-vision-one-mcp": {
                "command": "docker",
                "args": [
                    "run",
                    "-i",
                    "--rm",
                    "-e",
                    "TREND_VISION_ONE_API_KEY",
                    "ghcr.io/trendmicro/vision-one-mcp-server",
                    "-region",
                    "${input:trend-vision-one-region}",
                    "-readonly=true"
                ],
                "env": {
                    "TREND_VISION_ONE_API_KEY": "${input:trend-vision-one-api-key}"
                }
            }
        }
    },
}

Server Options

... View full README on GitHub