The Model Context Protocol (MCP) specification provides a standardized approach for enabling AI agents to interact with software, representing a significant shift in software communication reminiscent of the transition from desktop to web applications. MCP, which formalizes how tools can be accessed by AI models, particularly through standardized API formats, is essential for developers to integrate their applications with AI-driven agent platforms, ensuring automation and compatibility. Prefactor highlights the importance of treating MCP as an identity challenge rather than merely an integration layer, emphasizing the need for secure, authenticated interactions among agents, APIs, and users to avoid shadow IT issues. The protocol employs OAuth-based authentication to secure communications, with recent updates addressing scope management and step-up authentication to enhance flexibility and security. As MCP continues to evolve, it aims to accommodate deeper tool metadata and seamless enterprise integration, preparing for a future where AI agents operate with distinct identities and permissions. The underlying message for developers is to quickly adapt to MCP to meet growing user expectations for AI integration, with its simplicity facilitating easy adoption and gradual enhancement of authentication measures.