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The OPC UA MCP Server

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Inhalt bereitgestellt von Robert Weber / Peter Seeberg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Robert Weber / Peter Seeberg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Exploring the future of industrial AI, agents, and the Model Context Protocol. Find out if MCP is here to stay.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

More Links

https://modelcontextprotocol.io/specification/2025-06-18 https://a2a-protocol.org/latest/specification/ opc ua mcp server: https://playbooks.com/mcp/kukapay-opcua

In this episode, I sit down with Armin Hadzalic to tackle the burning question: will the Model Context Protocol (MCP) truly transform industrial AI? We dive deep into how MCP connects large language models and agents to real-world data, what makes it different from protocols like OPC UA and MQTT, and why the biggest players in tech are rallying behind it. Armin shares practical examples, addresses skeptics, and explains what MCP means for engineers, technicians, and anyone working in industrial automation. If you're curious about the rise of agents, the future of dashboards, and what it takes to stay ahead in the evolving world of industrial AI, you won't want to miss this conversation. Join me as we explore where MCP is headed and what it could mean for your job and your factory.

Siemens

https://www.siemens.com/global/en.html

Model Context Protocol (MCP)

https://github.com/anthropics/mcp

Anthropic

https://www.anthropic.com/

OPC UA (Open Platform Communications Unified Architecture)

https://opcfoundation.org/about/opc-technologies/opc-ua/

MQTT (Message Queuing Telemetry Transport)

https://mqtt.org/

Large Language Models (LLMs)

https://en.wikipedia.org/wiki/Largelanguagemodel

AWS (Amazon Web Services)

https://aws.amazon.com/

Microsoft

https://www.microsoft.com/

Google

https://www.google.com/

OpenAI

https://openai.com/

Agent Communication Protocol (ACP)

https://github.com/agent-protocol/agent-protocol

Agent Network Protocol (ANP)

https://github.com/agent-protocol/agent-network-protocol

A2A (Agent-to-Agent) Protocol

https://github.com/anthropics/a2a

AP-II (Agent Payments Protocol)

https://github.com/google/ap-ii

Viad Consulting

https://www.viad.com/

Living Factory

https://www.viad.com/insights/living-factories-driven-by-agents/

BMW

https://www.bmwgroup.com/en/company/production.html

  continue reading

310 Episoden

Artwork

The OPC UA MCP Server

Industrial AI Podcast

23 subscribers

published

iconTeilen
 
Manage episode 509717458 series 2579209
Inhalt bereitgestellt von Robert Weber / Peter Seeberg. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Robert Weber / Peter Seeberg oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Exploring the future of industrial AI, agents, and the Model Context Protocol. Find out if MCP is here to stay.

Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.

We thank our partner SIEMENS

More Links

https://modelcontextprotocol.io/specification/2025-06-18 https://a2a-protocol.org/latest/specification/ opc ua mcp server: https://playbooks.com/mcp/kukapay-opcua

In this episode, I sit down with Armin Hadzalic to tackle the burning question: will the Model Context Protocol (MCP) truly transform industrial AI? We dive deep into how MCP connects large language models and agents to real-world data, what makes it different from protocols like OPC UA and MQTT, and why the biggest players in tech are rallying behind it. Armin shares practical examples, addresses skeptics, and explains what MCP means for engineers, technicians, and anyone working in industrial automation. If you're curious about the rise of agents, the future of dashboards, and what it takes to stay ahead in the evolving world of industrial AI, you won't want to miss this conversation. Join me as we explore where MCP is headed and what it could mean for your job and your factory.

Siemens

https://www.siemens.com/global/en.html

Model Context Protocol (MCP)

https://github.com/anthropics/mcp

Anthropic

https://www.anthropic.com/

OPC UA (Open Platform Communications Unified Architecture)

https://opcfoundation.org/about/opc-technologies/opc-ua/

MQTT (Message Queuing Telemetry Transport)

https://mqtt.org/

Large Language Models (LLMs)

https://en.wikipedia.org/wiki/Largelanguagemodel

AWS (Amazon Web Services)

https://aws.amazon.com/

Microsoft

https://www.microsoft.com/

Google

https://www.google.com/

OpenAI

https://openai.com/

Agent Communication Protocol (ACP)

https://github.com/agent-protocol/agent-protocol

Agent Network Protocol (ANP)

https://github.com/agent-protocol/agent-network-protocol

A2A (Agent-to-Agent) Protocol

https://github.com/anthropics/a2a

AP-II (Agent Payments Protocol)

https://github.com/google/ap-ii

Viad Consulting

https://www.viad.com/

Living Factory

https://www.viad.com/insights/living-factories-driven-by-agents/

BMW

https://www.bmwgroup.com/en/company/production.html

  continue reading

310 Episoden

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