Deploy secure agentic AI: Protocols and performance tuning

This blog post concludes a series on building a conversational analyst using Red Hat OpenShift AI and EnterpriseDB, detailing the Model Context Protocol (MCP) which standardizes tool integration and enhances performance and security in agentic AI systems. It discusses how MCP improves user experience through event streaming and provides security practices necessary for safely deploying AI systems. The post further emphasizes the transition from traditional to agentic AI within enterprises and the associated benefits of using open standards.