The Model Context Protocol<\/a> (MCP) is an open-standard communication framework designed to enable seamless integration between LLM<\/a> applications and external data sources. Created by Anthropic<\/a>, the protocol provides a universal interface that allows Artificial Intelligence<\/a> models to access tools, files, and databases without requiring custom code for every new integration.<\/p> The architecture of MCP<\/a> is built on a client-server model. An MCP Client<\/a>, such as Claude Desktop<\/a> or IDE<\/a> extensions, connects to an MCP Server<\/a>. These servers act as bridges to specific services like GitHub<\/a>, Google Drive<\/a>, or local SQLite<\/a> databases. Communication is typically handled via JSON-RPC<\/a>, ensuring a lightweight and standardized exchange of information.<\/p> Developers can utilize the official TypeScript<\/a> or Python<\/a> SDKs to build their own connectors. By standardizing how models discover and execute functions, MCP<\/a> significantly reduces the complexity of building Agentic AI<\/a> systems. For further technical details, visit the official MCP documentation<\/a> or explore the MCP GitHub repository<\/a>.<\/p>