This article discusses how agentic AI can change the way businesses leverage automation and data. It highlights Algolia's Model Context Protocol (MCP), which enables AI agents to connect with tools and data for more effective outcomes. Key topics include the challenges of building these systems and best practices for implementation.

Mike Coleman from Docker discusses the importance of control over AI tooling deployment in enterprise environments. He provides a detailed guide on how to build a custom Model Context Protocol (MCP) catalog, which includes forking Docker’s official MCP catalog, hosting server images in a private registry, and using the MCP Gateway to connect clients to the curated servers.