Building Tool-Calling Agents With Databricks Agent Framework and MCP

Want to create AI agents that can do more than just generate text? Join us to explore how combining Databricks' Mosaic AI Agent Framework with the Model Context Protocol (MCP) unlocks powerful tool-calling capabilities. We'll show you how MCP provides a standardized way for AI agents to interact with external tools, data and APIs, solving the headache of fragmented integration approaches. Learn to build agents that can retrieve both structured and unstructured data, execute custom code and tackle real enterprise challenges.

Key takeaways:

• Implementing MCP-enabled tool-calling in your AI agents
• Prototyping in AI Playground and exporting for deployment
• Integrating Unity Catalog functions as agent tools
• Ensuring governance and security for enterprise deployments

Whether you're building customer service bots or data analysis assistants, you'll leave with practical know-how to create powerful, governed AI agents.