Dremio, MCP, and the Future of Agentic AI

As AI evolves from isolated models to collaborative, context-aware agents, new frameworks are emerging to shape the future of intelligent systems. In this webinar, we’ll explore how Dremio fits into the growing landscape of agentic AI, empowering data-driven workflows with open access to structured data.

We’ll introduce the Model Context Protocol (MCP)—a framework designed to create portable, composable, and magnetic AI workflows. Learn how Dremio’s MCP server integrates with the broader Dremio platform to enable seamless interoperability between agents, data platforms, and execution frameworks like Agent2Agent.

Finally, we’ll discuss how established tools like LangChain still play an essential role in orchestrating and connecting agentic systems, and how all these tools work together to unlock a new class of AI applications.

What you’ll learn:

How Dremio enables AI agents to access, query, and reason over enterprise data
What MCP is and how it standardizes model context for greater portability and flexibility
How the Dremio MCP server enhances cross-framework AI interoperability
Where frameworks like Agent2Agent and LangChain fit into the agentic AI stack

Join us to explore the architectural foundations of tomorrow’s AI—built on open protocols, interoperable tools, and powerful data platforms.

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