What prerequisites are needed?
A Trend Vision One account and API key with credits for the services you want to use. Docker and Visual Studio Code must be installed.
@trendmicro
Basic information
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.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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The Trend Vision One MCP (Model Context Protocol) Server enables natural language interaction between AI tooling and Trend Vision One web APIs, allowing users to harness large language models to interpret and respond to security events.
Install Docker and Visual Studio Code, then open the provided vscode:mcp/install link or add a server configuration to your settings.json with your API key and region. The server runs as a Docker container, with options like -readonly (default true) and -region (e.g., us, eu, jp). Use only with local integrations via STDIO transport.
A Trend Vision One account and API key with credits for the services you want to use. Docker and Visual Studio Code must be installed.
By default, the server runs in read‑only mode (`readonly=true`). To allow write operations, set `readonly=false`, but this may have irreversible consequences.
Data retrieved by the server is processed by the LLM in your AI tooling. You are responsible for ensuring that LLM is approved by your company for handling sensitive data. The server should never be exposed to the network.
Use the `-region` option with one of: `au`, `jp`, `eu`, `sg`, `in`, `us`, or `mea`. An alternative is to set the `-host` flag for custom endpoints.
The server communicates via Standard Input/Output (STDIO) transport and is intended only for local command‑line tools and integrations.

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