Visualizing Results: From Markdown Tables to MCP Apps

We have spent a lot of time discussing how AI can access data. We talk about connectors, APIs, MCP servers, databases and tools. But accessing the data is only half of the experience. The other half is how the result is presented to the user.

In this episode, we dive into how the Model Context Protocol (MCP) is revolutionizing software architecture and user experience. As AI agents increasingly handle everyday execution, traditional SaaS applications are shifting moving from feature-dense graphical user interfaces (GUIs) to intent-driven control planes where humans and AI agents collaborate side by side. Key Takeaways: The UI Paradigm Shift: The traditional application UI is no longer where most work happens; it is evolving into a high-level control plane while AI clients execute tasks. Designing for Two Users: Next-generation MCP-first software is built to be discovered, navigated, and operated by both human users and AI agents. Outcome-Based Workflows: Instead of manually clicking through complex sub-menus, users simply describe desired outcomes to an AI agent, which handles the underlying steps via standard MCP tools. Data & Visualization: Beyond static text and Markdown tables, integrating MCP enables rich, interactive dynamic visualizations directly within AI workflows.