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L-20 How to Run and Connect Multiple MCP Servers with LangGraph on Local Machine
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Learn Agentic AI: From Basics to Advanced Multi-Agent Systems - L-20 How to Run and Connect Multiple MCP Servers with LangGraph on Local Machine

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39 learners

What you'll learn

This course includes

  • 11.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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. đŸ“„ Download the complete source code: 🔗 GitHub: https://github.com/codewithaarohi/Agentic-AI-Course/tree/main/MCP_server_tutorial 📌 **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 **[email protected]** 🔔 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

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