Learn Agentic AI: From Basics to Advanced Multi-Agent Systems - L-21 Creating a Custom MCP Server with LangGraph & Streamlit | Step by Step tutorial

In this tutorial, we’ll **build a custom MCP server from scratch** and connect it to a **LangGraph-powered app**! Learn how to create tools, run your MCP server, and integrate it with an LLM for **automated AI workflows**. Follow along with the GitHub repository for full code examples: 🔗 GitHub: https://github.com/codewithaarohi/Agentic-AI-Course/tree/main/Custom_mcp_server_langgraph 📌 **What You’ll Learn:** ✅ What an MCP server is and why you might want to build a custom one ✅ How to create tools using **FastMCP** ✅ How to run your MCP server over **HTTP or stdio** ✅ How to connect MCP tools to **LangGraph** ✅ How to make an **LLM use MCP tools automatically** 🛠 **Technologies Used:** - Python - MCP (FastMCP) - LangGraph - OpenAI API - Streamlit (optional UI) 📌 **Who This Video is For:** Developers exploring **Agentic AI, LangGraph, or MCP integrations** 💬 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**! #CustomMCP #FastMCP #LangGraph #AgenticAI #PythonAI #OpenAIAPI #MCPIntegration #AIWorkflow #LLMAutomation #Streamlit