L-19 Build a Custom MCP Server with LangGraph and Streamlit

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
🌐 Website: https://codewithaarohi.ai/downloads/agentic_ai/

Both links contain the exact code used in this tutorial.

📌 **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 **aarohisingla1987@gmail.com**

🔔 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

Видео L-19 Build a Custom MCP Server with LangGraph and Streamlit канала Code With Aarohi Hindi