Model Context Protocol (MCP) aims to standardize how applications supply context to large language models. MCP functions as a universal connection for AI, facilitating the integration of diverse data sources and tools. The protocol employs a client-server architecture, featuring hosts, clients, and servers that enable LLMs to access both local and remote information securely. It offers pre-built integrations and promotes flexibility across different LLM providers. The documentation includes guides for getting started, tutorials for development, and explanations of core concepts like resources and prompts. Ultimately, MCP seeks to simplify the creation of AI agents and complex workflows.