MCP Unleashed From “Huh?” to “Heck Yeah!” Building Smarter AI Knowledge Bases

Discover the power of the Model Context Protocol (MCP), a groundbreaking, open framework designed to standardize and streamline interactions between AI models and client applications. As organizations increasingly rely on AI-driven tools, the need for consistent, reliable, and interoperable communication patterns has never been greater. MCP addresses this challenge by offering a unified protocol that enables models and applications to exchange context, capabilities, and data with clarity and precision.

In this beginner-friendly session, you’ll gain a solid foundation in how MCP works, why it matters, and how it fits into the broader AI ecosystem. We’ll walk step-by-step through the core concepts, architecture, and workflow of MCP, breaking down technical ideas in a way that’s accessible to newcomers and helpful for practitioners exploring integration strategies.

By the end of the session, you’ll apply what you've learned by building your first MCP server, giving you hands-on experience that you can take back to your own projects. Whether you're a developer, researcher, or simply curious about the future of AI interoperability, this session will equip you with the knowledge and confidence to start experimenting with MCP.

Join us to explore how MCP is shaping the next generation of AI-powered applications—and how you can be part of it.

Understand the fundamentals of the Model Context Protocol (MCP) and why it’s becoming an important standard for AI–application interoperability. Explore MCP’s core architecture and workflow, including how models, clients, and servers exchange context, capabilities, and data. Recognize real-world use cases where MCP simplifies integrations with tools, APIs, and knowledge sources. Gain hands-on experience by walking through the process of creating and running your first MCP server. Build confidence in applying MCP to enhance AI-driven applications in your own projects or organization.