Mar 16
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📌 What You'll Learn In this hands-on tutorial, you'll build a fully functional MCP (Model Context Protocol) server that connects Claude AI to a real SQL Server database. No fluff—just code and working demos. By the end of this video, you'll understand: What MCP is and why it matters for AI Engineers How Claude translates English → SQL using MCP tools How to build a Python MCP server from scratch How to securely connect AI to your databases The architecture behind tool-rich AI agents 🎯 Perfect For Data Science graduates aiming for AI Engineer roles Developers who want to make AI actually useful with real data Anyone curious about Anthropic's Model Context Protocol 🛠️ What We Build ✅ Weather API MCP server (simple starter) ✅ SQL Server MCP server with AdventureWorks ✅ Two custom tools: tables and query ✅ Secure read-only database access ✅ Live demos with Claude Desktop 💡 Key Takeaways MCP standardizes how AI connects to tools (1 protocol, any AI) Your Python server translates between Claude and SQL Server Claude writes the SQL—you just provide safe execution This exact pattern works for any database, API, or internal tool Companies are hiring engineers who can build these integrations