Model Context Protocol (MCP) is a universal interface designed to streamline the integration of AI assistants with external data sources and APIs, allowing for seamless retrieval and interaction of context directly within an Integrated Development Environment (IDE) like Cursor. Unlike traditional APIs such as OpenAPI, REST, or GraphQL, which require specific programming for each integration, MCP enables AI tools to access various data sources without the need for custom adapters, facilitating a dynamic and flexible workflow. The tutorial highlights how MCP, through the Ragie platform, can connect data from Google Drive, Jira, Slack, and other services to enhance coding efficiency by automatically pulling relevant information into the IDE. This approach not only simplifies the development process but also extends the capabilities of AI-powered tools beyond coding, offering potential applications in fields like sales, marketing, and customer support.