winccoa-ae-js-mcpserver
Active·★ 26·MIT·Updated 2026-10-01
The WinCC OA MCP Server integrates AI assistants with WinCC OA SCADA systems to enable intelligent automation, monitoring, and control in industrial environments. It acts as a Model Context Protocol server, facilitating interaction between AI and SCADA data for various operational tasks.
#WinCC OA#SCADA#AI Integration#Industrial Automation#MCP Server#Node.js#System Monitoring#Data Control
01
Features
01Secure API with token-based authentication.
02Pre-configured industry templates for sectors like Oil & Gas and Transportation.
03Extensible design allowing for custom WinCC OA tool integrations.
04Dynamic tool loading for configurable and optimized server operation.
05Project-specific rules to guide AI interactions within a plant environment.
02
Compatibility
WinCC OA
SCADA System Integration
Verified via docs
WinCC OA
Dashboard Tools (v3.21+)
Verified via docs
AI Assistants
Model Context Protocol (MCP)
Verified via docs
Claude Desktop
Client Integration
Verified via docs
Node.js
Runtime Environment
Verified via docs
Windows
Operating System
Verified via docs
03
Quick start
1
$ cd <OA_ProjPath>/javascript
2
$ mkdir mcpServer
3
$ cd mcpServer
4
$ npm install @etm-professional-control/winccoa-mcp-server
5
$ npm install file:C:/Siemens/Automation/WinCC_OA/3.20/javascript/winccoa-manager
04
Use cases
↳Querying real-time temperature values and statuses across an industrial plant.
↳Monitoring the operational status of equipment, such as determining which pumps are currently running.
↳Adjusting setpoints and configurations for industrial control systems like pumps.
↳Automating the creation of production reports based on SCADA data.
05
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