Winccoa Ae JS Mcpserver is an MCP (Model Context Protocol) server, developed by Winccoa, that connects AI agents to WinCC OA SCADA systems. Built with Node.js and JavaScript, it functions as an npm package, @etm/winccoa-mcp-server, to bridge industrial automation with artificial intelligence. This server enables AI for data insights, system control, and configuration within WinCC OA environments. It is designed to empower AI agents and coding assistants working with complex industrial data and operations.

What does Winccoa Ae JS Mcpserver connect to?

Winccoa Ae JS Mcpserver connects directly to WinCC OA SCADA (Supervisory Control and Data Acquisition) systems. Its core purpose is to serve as a Model Context Protocol (MCP) server, specifically designed to enable AI integration within industrial automation settings. This connection allows AI agents to interact with SCADA data and operations, supporting advanced data insights and system management. The server acts as a crucial link between AI capabilities and the operational technology environment of WinCC OA.

Core features and tools

AI agents can perform Smart Reporting and KPI Analysis, System Control via AI Commands (e.g., start/stop equipment, adjust parameters), and Routine Configuration through Conversational Interfaces (e.g., creating datapoints, configuring types). The server also supports Context-Aware System Exploration, allowing discovery of datapoints and system hierarchies. AI coding assistants can read and write datapoints and query alerts. Tool categories like datapoints/dp_set, datapoints/dp_create, datapoints/dp_type_create, alarms/alarm_set, and alarms/alarm_delete are available for system modification.

Who is it for?

Winccoa Ae JS Mcpserver is for AI agents, AI coding assistants, operators, and engineers who work with WinCC OA SCADA systems in industrial automation. It provides the means for AI to interact with and manage industrial processes. This includes professionals seeking to automate reporting, enable AI-driven system control, or use AI for routine configuration tasks within WinCC OA. This is not the right fit if you are not working with WinCC OA SCADA systems.

How to get started

The server authenticates using an API key passed as an environment variable. Setup involves configuring a security token, MCP_API_TOKEN, in an .env file, and it supports HTTP transport.

Use cases

• Automatically generating WinCC OA reports, KPI summaries, and operational insights for smart reporting.
• Enabling AI agents to control the system by interacting with datapoint elements for system control.
• Allowing AI chatbots to perform routine configuration tasks such as creating datapoints or configuring types.

Winccoa Ae JS Mcpserver provides a critical bridge for AI integration with WinCC OA SCADA systems, enabling advanced automation and data interaction. It supports various AI agents and coding assistants in industrial settings, offering capabilities from smart reporting to system control and configuration. The current authentication model requires root privileges, with future plans for API token-based access. Try enabling an AI agent to generate a WinCC OA report.