Large language models (LLMs), despite their capabilities in text generation and reasoning, traditionally struggle with real-time data access and integration into external systems. The Model Context Protocol (MCP), introduced by Anthropic in late 2024, addresses this challenge by providing a universal, open-source standard under the MIT license that enables AI systems to connect seamlessly with external data sources and services. Known as the "USB-C port for AI applications," MCP eliminates the need for bespoke integrations by standardizing the interface between AI models and data, allowing AI assistants to securely access live information and context on demand. This standardization simplifies the development of context-aware applications, offering developers a "plug-and-play" ecosystem where MCP-compliant AI clients and servers can interact effortlessly. The protocol's client-server architecture, inspired by the Language Server Protocol, enables AI models to utilize tools, resources, and prompts provided by MCP servers, facilitating real-time data interactions while maintaining user control and security. Since its introduction, MCP has been rapidly adopted across various platforms, enabling AI applications to perform tasks such as querying databases and integrating with business systems through natural language, enhancing the functionality of AI-driven applications across different industries.