Vision One

v1.0.0Securitystable

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

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What is Vision One?

Vision One is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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...

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

This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • The Trend Vision One Model Context Protocol (MCP) Server ena

Use Cases

Query Trend Vision One web APIs using natural language through LLM agents.
Leverage AI to interpret and analyze security data from Trend Vision One platform.
trendmicro

Maintainer

LicenseMIT
Languagego
Versionv1.0.0
UpdatedApr 27, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx vision-one

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Vision One

The Trend Vision One MCP Server enables natural-language interaction between AI coding assistants and the Trend Micro Vision One security platform through its web APIs. With over 50 tools spanning Cloud Posture, Identity and Access Management, Workbench Alerts, Cyber Risk and Exposure Management, Email Security, Container Security, Endpoint Security, and Threat Intelligence, security analysts can query and triage threats using plain English instead of navigating multiple consoles. The server ships as a Docker image and operates in read-only mode by default to protect production environments.

Prerequisites

  • Docker installed and running on your machine
  • A Trend Vision One account with an API key (configured with minimal necessary permissions)
  • Service credits allocated in your Vision One tenant
  • An MCP-compatible client such as VS Code with GitHub Copilot, Claude Desktop, or Claude Code
  • Network access to the appropriate Vision One regional endpoint
1

Obtain a Vision One API key

Log in to your Trend Vision One console, navigate to Administration > API Keys, and create a new key. Grant only the permissions required for your use case (read-only is recommended). Copy the key — it will be used as the TREND_VISION_ONE_API_KEY environment variable.

2

Pull the Docker image

The server is distributed as a container image from the GitHub Container Registry. Pull it with Docker before configuring your MCP client.

docker pull ghcr.io/trendmicro/vision-one-mcp-server:latest
3

Run the server manually to verify connectivity

Test the server by running the Docker image directly. Replace YOUR_API_KEY with your Vision One API key and choose the correct region code (us, eu, au, jp, sg, in, or mea).

docker run -i --rm \
  -e TREND_VISION_ONE_API_KEY=YOUR_API_KEY \
  ghcr.io/trendmicro/vision-one-mcp-server \
  -region us \
  -readonly=true
4

Configure your MCP client

Add the Vision One MCP server to your client configuration, passing the API key as an environment variable and specifying the correct region for your tenant.

{
  "mcpServers": {
    "vision-one": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "TREND_VISION_ONE_API_KEY",
        "ghcr.io/trendmicro/vision-one-mcp-server",
        "-region", "us",
        "-readonly=true"
      ],
      "env": {
        "TREND_VISION_ONE_API_KEY": "your-api-key-here"
      }
    }
  }
}
5

Restart your MCP client and verify available tools

After saving the configuration, restart Claude Desktop or reload your VS Code window. Ask your AI assistant to list the Vision One tools — you should see tools across Cloud Posture, Workbench, IAM, CREM, and more.

Vision One Examples

Client configuration (claude_desktop_config.json)

Full configuration for Claude Desktop running the Vision One MCP server via Docker in read-only mode against the US region.

{
  "mcpServers": {
    "vision-one": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "TREND_VISION_ONE_API_KEY",
        "ghcr.io/trendmicro/vision-one-mcp-server",
        "-region", "us",
        "-readonly=true"
      ],
      "env": {
        "TREND_VISION_ONE_API_KEY": "tmv1-xxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Prompts to try

Example prompts that leverage the Vision One MCP server's security tooling.

- "List all open Workbench alerts from the last 24 hours"
- "Show me the Cloud Posture findings for my AWS accounts"
- "What are the top 10 highest-risk devices in Cyber Risk and Exposure Management?"
- "List all endpoint sensors that haven't checked in within the past week"
- "Summarize recent email security detections and their threat categories"

Troubleshooting Vision One

Docker container exits immediately with authentication error

Verify that TREND_VISION_ONE_API_KEY is set correctly and the key has not expired. Confirm you are using the -region flag that matches your Vision One tenant's region. API keys are region-specific.

Tools return empty results even though data exists in the console

Check that the API key has the correct permissions for the tool category you are querying. For example, Cloud Posture queries require the Cloud Posture permission scope. Review the Vision One API key permission matrix in the console under Administration > API Keys.

MCP client cannot connect to the Docker-based server

Ensure Docker is running and the image has been pulled. The server communicates over stdio (not a network port), so no port mapping is needed. If using VS Code, confirm you are in Copilot Agent Mode and the .mcp.json or settings.json entry uses the correct docker run arguments.

Frequently Asked Questions about Vision One

What is Vision One?

Vision One is a Model Context Protocol (MCP) server that 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 It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Vision One?

Follow the installation instructions on the Vision One GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Vision One?

Vision One works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Vision One free to use?

Yes, Vision One is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "vision-one": { "command": "npx", "args": ["-y", "vision-one"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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