The Model Context Protocol (MCP) has become popular for creating standalone servers that use stdio transport, with Server-Sent Events (SSE) recommended for integrating these servers into existing FastAPI applications despite limited documentation. This guide provides a step-by-step approach to creating an MCP server with SSE support, starting with setting up a project directory using FastAPI and MCP, and developing a basic health check endpoint. It explains building the SSE transport layer with Starlette by creating a Starlette app to handle SSE connections and message handling, which is then mounted on the FastAPI application. The guide also details connecting to the server using an MCP client like Cursor, enhancing the server by adding tools, resources, and prompts using the MCP Python SDK, and addresses the lack of standardized authentication for SSE servers within the MCP specification. The guide concludes by emphasizing the potential of integrating powerful AI tools into applications through MCP, allowing for interactive AI experiences without complex communication mechanisms.