In this video, you’ll learn how to build your own MCP (Model Context Protocol) Server and Client in Python using FastMCP and LangChain MCP Adapters — step by step! 🚀
We’ll start by creating a simple Math MCP Server that exposes tools like add and multiply, and then connect it to an MCP Client that communicates using STDIO.
By the end, you’ll understand how AI agents can call your Python functions directly — just like ChatGPT Plugins or OpenAI tools, but locally!
💡 What You’ll Learn:
What MCP (Model Context Protocol) is and why it’s important
How to set up an MCP server using FastMCP
How to connect and call MCP tools using MultiServerMCPClient
How LangChain integrates with MCP
Real example: Adding and multiplying numbers using your own server
📂 Code Files:
mcp_server.py → defines the MCP tools
mcp_client.py → connects and invokes the tools
🧠 Perfect for:
AI developers • Python programmers • LangChain learners • Beginners building AI agents
#MCP #LangChain #PythonAI #AIagents #FastMCP #LangChainTutorial #OpenSourceAI #PythonTutorial #AItools #Developers
