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Explore how to create AI agents with advanced tool-calling capabilities by combining Databricks' Mosaic AI Agent Framework with the Model Context Protocol (MCP) in this 29-minute conference talk. Discover how MCP provides a standardized approach for AI agents to interact with external tools, data, and APIs, eliminating the complexity of fragmented integration methods. Learn to build agents capable of retrieving both structured and unstructured data, executing custom code, and addressing real enterprise challenges. Master the implementation of MCP-enabled tool-calling in AI agents, prototype solutions in AI Playground with seamless export for deployment, and integrate Unity Catalog functions as agent tools while ensuring proper governance and security for enterprise environments. Gain practical knowledge for creating powerful, governed AI agents suitable for applications ranging from customer service bots to data analysis assistants, presented by Databricks Staff Product Manager Elise Gonzales and Software Engineer Siddharth Murching.
