In this episode, we introduce the Model Context Protocol (MCP) and its impact on AI integration and industry applications. We explore MCP's potential as a universal AI standard and highlight developer collaboration. Discover enhancements in Claude Code, including remote MCP server support and practical integration examples. We discuss Confidential Inference, focusing on data and model security, and explore Inference Server security. We also cover Savant Labs' new release and its synergy with Anthropic Claude, delving into the Agentic Analytics Suite. Finally, we examine the Workflow Transformer and its effect on legacy system integration.

(0:00) Introduction to the episode and Model Context Protocol (MCP)

(0:28) MCP's influence on AI integration and industry application

(1:23) The future of MCP as a universal AI standard and developer collaboration

(2:08) Claude Code's enhancements with remote MCP server support

(3:19) Practical integration examples and security features in Claude Code

(4:55) Confidential Inference: Ensuring data and model security

(7:14) Deep dive into Inference Server security and trusted platforms

(9:06) Anticipating future security needs for AI models and data

(9:57) Savant Labs' new release and its synergy with Anthropic Claude

(10:24) Exploring Savant’s Agentic Analytics Suite and advanced features

(11:45) Workflow Transformer: Revolutionizing legacy system integration

(12:10) Closing remarks and episode sign-off