The Model Context Protocol (MCP) is a new standard for communication between components of an AI application and external systems or tools, aiming to improve the integration of data and tools with AI models. Adopted by leading companies like AWS, GitHub, and Anthropic, MCP is gaining traction on the business side as well, providing a consistent and structured format for interacting with large language models (LLMs) and other AI models. By standardizing the interaction between AI applications and external systems or tools, MCP enables developers to build more maintainable AI applications faster without reinventing implementation patterns for each new use case. The protocol uses a client-server model, allowing any MCP-compatible client to connect to any MCP-compatible server without custom integration work. This standardization is particularly valuable for AI agent-based systems, which rely on accessing and orchestrating tools based on context and goals, promising to streamline the design of modular AI systems that can flexibly incorporate the tools and data they need to operate effectively.