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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
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.
https://www.siemens.com/global/en.html
https://github.com/anthropics/mcp
https://www.anthropic.com/
https://opcfoundation.org/about/opc-technologies/opc-ua/
https://mqtt.org/
https://en.wikipedia.org/wiki/Largelanguagemodel
https://aws.amazon.com/
https://www.microsoft.com/
https://www.google.com/
https://openai.com/
https://github.com/agent-protocol/agent-protocol
https://github.com/agent-protocol/agent-network-protocol
https://github.com/anthropics/a2a
https://github.com/google/ap-ii
https://www.viad.com/
https://www.viad.com/insights/living-factories-driven-by-agents/
https://www.bmwgroup.com/en/company/production.html
By Robert Weber / Peter Seeberg5
44 ratings
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
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.
https://www.siemens.com/global/en.html
https://github.com/anthropics/mcp
https://www.anthropic.com/
https://opcfoundation.org/about/opc-technologies/opc-ua/
https://mqtt.org/
https://en.wikipedia.org/wiki/Largelanguagemodel
https://aws.amazon.com/
https://www.microsoft.com/
https://www.google.com/
https://openai.com/
https://github.com/agent-protocol/agent-protocol
https://github.com/agent-protocol/agent-network-protocol
https://github.com/anthropics/a2a
https://github.com/google/ap-ii
https://www.viad.com/
https://www.viad.com/insights/living-factories-driven-by-agents/
https://www.bmwgroup.com/en/company/production.html

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