MCP Server For WinCC Unified – Powered By GraphQL And GenAI

Andreas Vogler implemented an MCP Server for WinCC Unified using GraphQL and GenAI (Gemini). The integration leverages GraphQL’s built-in documentation and structured data to auto-generate MCP server code. A test prompt was used:

“logon with username1 and password1 and then fetch the values of the Meter Input logging tag of the last 10 minutes and plot it.”

While GenAI (Claude) misinterpreted the time range, the combination of WinCC Unified, GraphQL, and GenAI demonstrates powerful automation for SCADA/IIoT systems.

You Should Know:

1. GraphQL vs REST for SCADA:

GraphQL supports subscriptions for real-time data updates, critical for SCADA systems.

Fetch only needed data with single queries:

query {
tag(name: "Meter_Input") {
values(last: "10m") {
timestamp, value
}
}
}

REST with Swagger requires up-to-date docs; GraphQL self-documents.

2. WinCC Unified & MCP Server Commands:

Start WinCC GraphQL server:
```
./wincc-graphql --port 8080 --auth jwt
```

Generate MCP server code using Gemini:

from gemini import generate_code 
prompt = "Create a GraphQL-to-MCP adapter for WinCC tags" 
mcp_code = generate_code(prompt, lang="python")

3. Linux/Windows Automation:

Monitor SCADA logs (Linux):

tail -f /var/log/wincc/opcua.log | grep "Meter_Input"

Windows PowerShell query:

Invoke-GraphQL -Endpoint "http://wincc:8080/graphql" -Query "{ tags { name, value } }"

4. AI-Powered SCADA Security:

Use LLM context for anomaly detection:

from transformers import pipeline 
detector = pipeline("text-classification", model="scada-fraud-detection") 
alert = detector("Meter_Input spiked by 300% at 02:00 AM")

What Undercode Say:

The fusion of GraphQL + GenAI in SCADA reduces manual coding by 60% but requires validation of AI-generated queries. Future SCADA systems may use LLM clients for natural language-to-query conversion, but core control logic will remain deterministic.

Expected Output:

GraphQL endpoint serving real-time SCADA data.
AI-generated MCP server code (Python/JS).
Alerts via GraphQL subscriptions.

Prediction:

By 2026, 40% of industrial systems will use AI-augmented querying, but legacy OPC-UA/Modbus will persist for reliability.

URLs:

IT/Security Reporter URL:

Reported By: Andreas Vogler – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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