AI agents are only as powerful as the tools they can access. The Model Context Protocol (MCP) provides a universal way to discover and interact with those tools, and on Databricks, enterprises already use it to connect agents with native and external MCPs.

Again and again, customers tell us the same thing: auth is the bottleneck. Every provider has its own OAuth app registration, its own client secrets, its own token refresh logic. Secrets need rotating, permissions need auditing, and there's no centralized way to track which agents are accessing what. What should take minutes takes weeks.

Unity AI Gateway solves this by giving teams a single, governed way to connect agents to external systems:

Let's walk through connecting GitHub as an external MCP server and taking it all the way to a deployed agent.