In a new tutorial from Analytics Vidhya, developers learn how to build a text-to-SQL server using the Model Context Protocol (MCP). The video, titled "Model Context Protocol (MCP) Tutorial: Build a Text-to-SQL MCP Server & AI Agents," demonstrates how to create an AI agent that can query a database using natural language.
The tutorial covers the "N x M" problem of traditional integration, explains MCP architecture including host, client, and server, and dives into tools, resources, and prompts. It also compares MCP with function calling and explores stdio vs. HTTP transport modes. The hands-on project uses IPL cricket data from 2008 to 2026.
Analytics Vidhya describes MCP as the "USB-C for AI," aiming to simplify how large language models connect to external data sources like databases, Notion, or GitHub. The tutorial provides a step-by-step guide for building a real-world server and AI agents from scratch.