Solution Corner #32: AI & MCP with Automic V26 (Recording)

This webinar is all about MCP. Using the MCP-PEM search tool, we’ll take a look at how an MCP server works and how to configure it in Automation.AI. Afterward, we’ll, of course, try it out live in Automic.

MCP and AI in Automic V26: How the Integration Works in Practice

With Automic V26, the Model Context Protocol (MCP) introduces new possibilities for integrating AI systems with Automic Automation. MCP provides a standardized interface that enables Large Language Models to access external systems, live data and defined functions – creating a common way for AI applications to interact with enterprise systems and services.

From RAG to MCP and Agentic AI

In this webinar, Joel explains how modern AI architectures have evolved from traditional language models to Retrieval-Augmented Generation (RAG), tool-based approaches and ultimately agentic AI powered by protocols such as MCP.

The practical focus is on Automic Automation AI: Automic can consume tools provided by external MCP servers while also exposing its own functionality through an MCP server for use by other AI applications.

Automic Automation AI and MCP in Practice

Using the MCP Inspector, we explore the available tools and take a closer look at the underlying architecture. A live demonstration shows how existing Automic REST interfaces can be exposed as MCP tools and how an additional PEM MCP Server can be integrated into the same AI workflow.

What You Will Learn in This Webinar

  • How AI architectures have evolved from traditional LLMs and RAG to tool-based and MCP-enabled systems
  • What the Model Context Protocol is and which integration challenges MCP addresses
  • How Automic V26 can operate as both an MCP client and an MCP server
  • How existing REST APIs and OpenAPI/Swagger definitions can serve as the foundation for MCP tools
  • How the MCP Inspector can be used to analyze and test MCP servers and their available capabilities
  • How Automic Automation AI can combine multiple tool calls within agentic loops
  • How authentication and existing user permissions are handled within MCP integrations
  • Where AI provides real value – and when deterministic scripts or traditional program logic remain the better choice

Connecting AI, Automation and Live System Data

One of the key advantages of MCP is that AI applications no longer have to rely exclusively on pre-trained knowledge or static knowledge bases. Instead, they can retrieve current information directly from connected systems and execute actions through clearly defined tools.

This webinar recording provides a practical introduction to MCP with Automic V26 and demonstrates how Automic Automation, REST APIs and artificial intelligence can be connected much more closely to enable powerful new automation scenarios.

Learn Automic with PEM!

Would you like to learn more about Automic without having to travel across the country for workshops? At PEM, you decide when and how you want to continue your education! In interactive courses, tutorials and videos, you will learn everything you need to know about Automic – and more! And we are always there for you via comment function or email.

Does that sound interesting? Then get started today with PEM, Automic Training 2.0 and year-round Automic support!

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FAQ about Automic Training on PEM

PEM is the most innovative and fastest growing Automic learning platform. It offers PEM members a comprehensive range of online training courses that can be accessed 24/7 and from anywhere. The platform includes dozens of videos and interactive courses and is aimed at beginners and professionals alike.