In this episode of Intelligent Insights, we explore the Model Context Protocol (MCP) - a groundbreaking standard that's redefining how AI models interact with tools, APIs, and external systems. Inspired by the Language Server Protocol (LSP), MCP has rapidly gained traction among major AI platforms like OpenAI, Anthropic, and Cloudflare. But with great power comes great responsibility: the protocol also introduces new vectors for security risks and governance challenges.

We dive deep into the architecture of MCP, its server lifecycle, real-world use cases, and the emerging community ecosystem supporting it. You’ll also hear about the most pressing security threats across creation, operation, and update phases - from name spoofing and sandbox escapes to configuration drift.

Whether you're a developer, researcher, or AI enthusiast, this episode offers valuable insights into the future of agentic workflows and the infrastructure behind intelligent autonomy.