AI is no longer confined to labs and prototypes. With the integration of Model Context Protocol (MCP), we're witnessing how AI learns, adapts, and operates in real-world environments—driving practical innovation across industries.

We discuss:

  • Smarter Context Management: MCP helps AI tools remember, reuse, and adapt information, reducing repetition and boosting workflow continuity.

  • Real-World Applications: From CRM platforms to creative tools, MCP is being used to archive prompts, automate insights, and streamline decision-making.

  • AI Learning in Action: Systems powered by MCP learn through context exposure, improving the relevance and accuracy of AI-generated outputs.

  • Bridging Tools Seamlessly: MCP enables integration between platforms like Obsidian, Claude, and others, powering fluid cross-tool collaboration.

  • Strategic Advantage: Teams that adopt MCP early will gain efficiency, insight, and a competitive edge in their digital operations.


As AI continues to expand, the role of protocols like MCP becomes essential—not just for performance, but for scalable, meaningful learning and productivity. Now is the time to explore what real-world MCP adoption can do for your team.

About The Show

The Analytic Mind podcast provides an opportunity to learn from a diverse range of global data leaders. Hosted by Sam McKay, CEO of Enterprise DNA. Covered will be a range of data and analytics topics keeping you up to date with recent trends, organizational challenges, and opportunities for innovation in this exciting space.