Agentic and Gen AI with MCP

Example Use Cases

• 1

  Communicate and coordinate using a standardized Model Context Protocol.

• 2

  That require integration with multiple AI frameworks like LangChain and LangGraph.

• 3

  Real-time data processing and deployment on cloud platforms.

Description

This repository provides a comprehensive bootcamp and practical implementations for building Agentic AI and Gen AI agents using the Model Context Protocol (MCP). It enables developers to create scalable AI workflows integrating LangChain, LangGraph, and CrewAI, with support for multiple MCP clients and servers, including deployment on cloud platforms like AWS. The MCP architecture acts as a universal protocol to streamline AI application development, enhancing interoperability and real-time data handling.