Andreas Siegel

Andreas is a true all-around explorer – and he means that literally. New technologies, methods, tools: He wants to understand how things work and what they’re good for. At pentacor, he works at the intersection of architecture, integration, and strategy – with a focus on APIs, AI agents, and agent-based workflows. He not only designs solutions but also implements them hands-on. He shares what he learns at conferences, meetups, and on the pentacor blog – always keeping a critical eye on what actually works.

Blog Posts by Andreas

Testing in Boxes
Alarming
API
Cloud-Native
My pentacor Day — Corona Edition
Corporate Culture

Events with Andreas

MCP Hands-On: How We Opened APIs for AI Agents

IT-Tage 2026
Talk
Datum:
December 7, 2026
–
December 11, 2026
Uhrzeit:
Ort:
Frankfurt am Main
Andreas Siegel

The Model Context Protocol (MCP) is transforming the way AI agents interact with enterprise systems and APIs. While traditional APIs are primarily designed for human developers, MCP creates a bridge that integrates AI models as fully-fledged actors within enterprise landscapes. This allows them to access systems directly and become part of the system architecture. In this presentation, we address the central question of how MCP differs from classical APIs, where parallels exist, and what implications this has for design, integration, and governance. Through a hands-on showcase, we demonstrate a concrete implementation: we show how existing APIs can be made accessible via MCP servers and present a comprehensive MCP blueprint. Additionally, we explore how Azure cloud services can be leveraged to deploy, manage, and secure an MCP server. The talk provides practical insights from the development and operational deployment of MCP servers, including new challenges, solution approaches, and lessons learned.

‍

MCP Hands-On: How We Opened APIs for AI Agents

IT-Tage 2026
Talk
Datum:
December 7, 2026
–
December 10, 2026
Uhrzeit:
Ort:
Frankfurt am Main
Andreas Siegel
Robert Mroczynski

The Model Context Protocol (MCP) is transforming the way AI agents interact with enterprise systems and APIs. While traditional APIs are primarily designed for human developers, MCP creates a bridge that integrates AI models as fully-fledged actors within enterprise landscapes. This allows them to access systems directly and become part of the system architecture. In this presentation, we address the central question of how MCP differs from classical APIs, where parallels exist, and what implications this has for design, integration, and governance. Through a hands-on showcase, we demonstrate a concrete implementation: we show how existing APIs can be made accessible via MCP servers and present a comprehensive MCP blueprint. Additionally, we explore how Azure cloud services can be leveraged to deploy, manage, and secure an MCP server. The talk provides practical insights from the development and operational deployment of MCP servers, including new challenges, solution approaches, and lessons learned.

‍

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