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Posts tagged with mcp

Are MCPs the USB-C of AI? Tealium Thinks So

Are MCPs the USB-C of AI? Tealium Thinks So

A conversation with Tealium’s Sav Khetan and BJ Allmon about MCPs, AI integration, and the role of CDPs in a multi-agent world.

In this episode of Diagnosis Demo, I sit down with Sav Khetan and BJ Allmon from Tealium to explore their recent implementation of MCPs (Model Context Protocols). We discuss what MCPs mean for real-time AI integration, how Tealium positions itself as an AI enabler, and why the future might just belong to multi-agent architectures. We also demo a real use case that shows how fast and powerful Tealium's setup really is.

Watch to see:

  • A working demo using Tealium’s Moments API and MCP integration in a simple chatbot
  • The difference between MCP and A2A protocols
  • Why data orchestration, not
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Contextual CDPs: Memory, not identity, is what makes context work

Contextual CDPs: Memory, not identity, is what makes context work

Part 2 of 6: How model context protocols could replace the brittle logic of user tracking.

In Part 1, I explored how model context protocols (MCPs) could shift CDPs from passive data stores into dynamic context engines. Profiles that update themselves in the moment, based on intent, tone, and history. Not just segments, but signals. And now? Let’s see what happens when those signals actually drive decisions… in real time, across multiple touchpoints.

Because here’s the next big unlock: context-aware orchestration.

Real-time isn’t just about speed

Let’s be honest, "real-time" has been one of those buzziest of buzzwords we’ve collectively abused for years. It often means “fast batch,” or “eventual personalization.

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Contextual CDPs, is this the next-gen?

Contextual CDPs, is this the next-gen?

Part 1 of 6: What Model Context Protocols mean for the future of Customer Data Platforms.

There’s been a lot of noise lately about context windows, model memory, RAG systems, and how all these emerging AI patterns might play out across industries. And if you’re working in customer data or Martech, you’ve probably felt a mix of curiosity and overwhelm. I know I have.

So let’s slow it down for a moment and approach this from a different angle. I’m not an MCP expert, far from it. This series is more about curiosity than conclusions. It’s a way for me to explore how these ideas could apply to CDPs and

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“Who's winning the AI agent war in Martech?”

“Who's winning the AI agent war in Martech?”

Michele Nieberding on CDPs, MCPs, and Martech strategy

This one’s been a long time coming. After a few reschedules, I finally had the pleasure of chatting with Michele Nieberding, and we went straight into the deep end of AI agents, the chaos of MCPs, and why marketers need to stop slapping "AI" on triggers and calling it innovation. We covered everything from Salesforce’s latest moves to why Aampe might just be the next unicorn in Martech.

Michele shares how product marketers are finding their way in the new wave of agentic thinking, what companies are getting wrong about AI observability, and her predictions on who’s

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