Building MCP Servers from Scratch - Chapter 4 | Model Context Protocol

Description

🎓 MCP Tutorial Series - Chapter 4: Building Your First MCP Server with FastMCP Learn how to build Model Context Protocol (MCP) servers using FastMCP in Python! In this comprehensive tutorial, we'll create both STDIO and HTTP servers from scratch, explaining every line of code in detail. 🎯 What You'll Learn: - Understanding what MCP servers are and how they work - Creating a complete STDIO server for local use (Claude Desktop) - Building an HTTP server for web deployment and microservices - Understanding async functions and Python decorators - The if __name__ == "__main__" pattern explained in depth - When to use STDIO vs HTTP transport - Running and testing both server types 🔧 Prerequisites: - Python 3.8 or higher - uv package manager installed - FastMCP library (pip install fastmcp) - Basic Python knowledge - VS Code or any code editor 💡 Why Learn MCP? The Model Context Protocol is revolutionizing how AI assistants interact with external tools and data. By mastering MCP, you'll be able to: - Build custom tools for AI assistants like Claude - Create powerful integrations and automations - Develop both local and web-based AI-powered services - Enhance AI capabilities with your own functions 🎯 Perfect For: - Python developers learning AI integration - Backend developers exploring MCP - Anyone building tools for Claude Desktop - Developers creating AI-powered applications - Software engineers interested in AI protocols