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Robert Weber / Peter Seeberg에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Robert Weber / Peter Seeberg 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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The OPC UA MCP Server

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Manage episode 509683626 series 2492280
Robert Weber / Peter Seeberg에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Robert Weber / Peter Seeberg 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

309 에피소드

Artwork

The OPC UA MCP Server

Industrial AI Podcast

17 subscribers

published

icon공유
 
Manage episode 509683626 series 2492280
Robert Weber / Peter Seeberg에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Robert Weber / Peter Seeberg 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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

309 에피소드

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