AI Engineer - Learn how to integrate AI into software applications
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Overview
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Learn to build Model Context Protocol (MCP) servers using the open-source FastMCP Python library in this comprehensive tutorial. Discover what MCP is and understand its importance as the standard that enables AI agents like GitHub Copilot and Gemini to securely interact with databases, functions, and applications. Master MCP development through three hands-on coding projects where you'll create calculator applications using Standard I/O (STIO) and HTTP Stream methods, integrate APIs for dynamic content delivery, and implement testing procedures with GitHub Copilot. Explore the complete development workflow from initial setup through deployment by learning to deploy your MCP server on FastMCP Cloud. Gain practical experience with real-world scenarios while building functional MCP servers that can enhance AI agent capabilities and enable secure interactions with various data sources and applications.
Syllabus
- 0:00:00 Greetings
- 0:01:54 About MCP
- 0:04:46 Coding Scenario 1
- 0:13:58 Coding Scenario 2
- 0:32:41 Coding Scenario 3
- 0:49:58 Testing MCPs with Github Copilot
- 1:02:23 Bonus: Deploying a MCP on FastMCP Cloud
Taught by
freeCodeCamp.org