Create an MCP Client in Python - FastAPI Tutorial

Video Description

In this tutorial we cover how to create an MCP client in Python using FastAPI. We will take inspiration from the Claude Desktop application to make our LLM call the MCP tools from our MCP server and display the results from the tools. Links --- - 🚀 Complete AI Engineer Bootcamp (open now): https://aibootcamp.dev/ - ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq - GitHub repository: https://github.com/alejandro-ao/mcp-client-python - Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn - Get the Newsletter: https://link.alejandro-ao.com/AIIguB Detailed description --- In this video, we dive deep into AI agents and how they interact with the powerful MCP client and MCP server architecture. If you’ve ever wondered how MCP works, what MCP explained really looks like, or how to connect to Anthropic’s Claude using the MCP Python SDK, this is the perfect tutorial for you! We’ll cover everything you need to know, including: ✅ What is the MCP client and MCP server? ✅ How the MCP SDK allows you to create AI agents. ✅ Hands-on walkthrough of the MCP Python client and MCP Python SDK. ✅ Full MCP Python tutorial showing how to build an AI agent ✅ Compare Claude AI vs ChatGPT for real-world AI agent use cases. ✅ How AI agents work behind the scenes using MCP and Python. Timestamps --- 0:00 Intro 2:03 What is an MCP Client 9:27 Setup 13:14 MCP Client Class 21:27 Connect to Server 29:06 Process Query 53:01 FastAPI 1:08:52 Debugging 1:13:17 Conclusion