CODESYS® AI-supported Engineering

CODESYS AI-supported Engineering auf der SPS 2026

Thank you very much for your interest in AI-assisted engineering at our booth. Here you will find the following information:

  • CODESYS Development System MCP Server
  • Online Help chatbot
  • Your next steps for a quick start

What you saw at the sps trade show

The focus was on the practical application of AI in PLC programming: formulating tasks in natural language, providing the CODESYS project context, generating code, and having it checked and corrected as needed. The key point: The AI does not operate in isolation within the chat, but rather interacts directly with the CODESYS Development System via the MCP Server.

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An overview of the key components

CODESYS does not take a purely “browser-based chatbot” approach. Instead, it develops specific AI functions for various tasks that can be integrated into engineering practice.

CODESYS Development System MCP Server

The MCP Server provides a standardized connection between the CODESYS Development System and compatible AI systems. The AI can read project structures, generate POUs, modify code, analyze compiler messages, and suggest corrections.

Chatbot for the CODESYS Online Help

The chatbot answers questions about the application based on the CODESYS Online Help. It uses the official documentation as its knowledge base and does not provide made-up answers.

Local models and data sovereignty

For applications with high information security requirements, local language models can be an alternative to cloud-based AI. With MCP, this approach remains model- and vendor-independent.

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Video on this topic

The webinar recording delves deeper into the topics and demonstrates how AI support can be used in CODESYS today and in the future.

Product benefits and key features

01

Get to your first working result faster

Plain-text tasks can be translated into project structures, building blocks, variables, and ST code. This can significantly speed up repetitive tasks in particular.

02

Clear, step-by-step instructions

The AI is visibly at work on the project. You can monitor the process, review interim results, and step in to make corrections at any time.

03

Free choice of your AI system

Since the connection is made via MCP, a variety of compatible LLMs can be used, ranging from cloud services to local models.

Technical highlights

Generate, check, correct

The typical process consists of generation, translation, and correction. Compiler and analysis information is then fed back into the next step.

Project context instead of copy-and-paste

The AI works with real project information, libraries, and messages from the CODESYS Development System. This reduces the need for assumptions and minimizes manual data entry errors.

Engineering remains responsible

AI supports, but does not replace, expert evaluation. Version control, testing, static analysis, and clear documentation remain key guidelines.

Typical use cases

  • Create function blocks and instances using the prompt
  • Explain, comment on, or structurally analyze existing ST code
  • Evaluate compiler errors and iterate on suggested corrections
  • Prepare test modules and documentation
  • Derive machine sequences from descriptions and structural specifications

Additional information

Product Page

Click here to go to the “CODESYS AI-supported Engineering” section on the CODESYS website.

Online Help for the CODESYS MCP Server

Answers about the CODESYS MCP Server in our Online Help

Would you like to test the CODESYS MCP Server yourself?

Get started with CODESYS V3.5 SP22 or later, use the CODESYS Installer to install the MCP Server, and use the Professional Developer Edition or an appropriate demo license. If you have specific questions, the CODESYS Sales Team will be happy to help.