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Creating a Custom MCP Server with LangGraph and Streamlit - Step by Step Tutorial - L-21

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Learn to build a custom Model Context Protocol (MCP) server from scratch and integrate it with a LangGraph-powered application in this comprehensive 29-minute tutorial. Discover what an MCP server is and understand the benefits of creating custom implementations for your specific needs. Master the process of creating tools using FastMCP and explore different deployment options including HTTP and stdio protocols. Gain hands-on experience connecting MCP tools to LangGraph and configure Large Language Models to automatically utilize MCP tools for enhanced functionality. The tutorial covers essential technologies including Python, MCP (fastmcp), LangGraph, OpenAI API, and includes optional Streamlit UI implementation. Access the complete source code through the provided GitHub repository and follow along with practical examples that demonstrate real-world applications of Agentic AI and MCP integrations.

Syllabus

L-21 Creating a Custom MCP Server with LangGraph & Streamlit | Step by Step tutorial

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