Digital Transformation

What Problem MCP Solves AI systems often need to interact with multiple external systems such as databases, APIs, and internal tools. However, this integration is complex, inconsistent, and error-prone without a standardized protocol. MCP addresses these challenges by: Standardizing AI interactions with external systems Enhancing security through authentication, authorization, and role-based access Orchestrating complex workflows across multiple servers Ensuring observability and reliability with logging and fault tolerance Simplifying integration and extensibility , allowing new tools and services to be added easily In short, MCP provides a secure, efficient, and consistent framework for AI systems to communicate with the outside world while maintaining context and reliability. Introduction to Model Context Protocol (MCP) The rapid evolution of artificial intelligence (AI) has brought forth unprecedented opportunities and challenges, particularly in how AI systems interact with ...