L-18 MCP with LangGraph | Single Server and Multi Server Setup on Local Machine

In this tutorial, we take a deep dive into **Model Context Protocol (MCP)** and learn how to **connect multiple MCP servers** with an MCP client. 📥 Download the complete source code: 🔗 GitHub: https://github.com/codewithaarohi/Agentic-AI-Course/tree/main/MCP_server_tutorial 🌐 Website: https://codewithaarohi.ai/downloads/agentic_ai/ Both links contain the exact code used in this tutorial. For Queries: aarohisingla1987@gmail.com 📌 **What You’ll Learn:** ✅ Quick recap — What is MCP and why it matters ✅ How to set up and run a **Weather MCP Server** locally ✅ Connecting an **MCP client** to the server and fetching live data ✅ Running two MCP servers simultaneously — Weather + Calculator ✅ How MCP makes **tool discovery and swapping** easy for AI agents ✅ Local vs Hosted MCP servers — when to use each This tutorial is perfect for developers exploring **Agentic AI**, **MCP integrations**, and building multi-server AI workflows. 💬 Questions or collaborations? Reach out at **aarohisingla1987@gmail.com** 🔔 Don’t forget to **like, comment, and subscribe** for more tutorials on **MCP, LangGraph, and AI tools**! #ModelContextProtocol #MCP #MCPServers #AgenticAI #PythonAI #FastMCP #AIWorkflow #MCPClientIntegration #AIAgents #MultiServerMCP