MCP Crash Course Create a Conversational Multi-Agent System
Published 6/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 19m | Size: 1.13 GB
Build intelligent LLM agents that interact with tools, databases, and users using the MCP protocol
What you’ll learn
Learn how to build intelligent agents that use LLMs to make decisions and perform actions in real time
Use the MCP protocol to integrate language models with tools, data, and external systems
Create custom Tools that LLMs can use to interact with their environment
Develop MCP servers and clients capable of asynchronous and efficient communication
Build conversational interfaces with Streamlit connected to LLM-based agents
Learn through practical examples how to build, test, and expand your own connected LLM agents
Requirements
Basic knowledge of Python. OpenAI API key required.
Description
Welcome to our course: MCP Crash Course: Create a Conversational Multi-Agent System.Model Context Protocol (MCP) is a modern, lightweight protocol designed to orchestrate interactions between LLMs and tools with security, control, and clarity. Have you ever imagined building LLM-based agents (Large Language Models) that truly interact with the world around them? With the course “MCP Crash Course: Create a Conversational Multi-Agent System”, you’ll learn how to build agents that don’t just generate text — they take action, query databases, access external tools, and interact with users in a structured and useful way.This course is designed for AI professionals and enthusiasts who want to go beyond the basics and explore practical integrations between language models and real-world systems. The foundation for all this is MCP.You’ll start with the fundamentals of agents — understanding how they work, how they “think,” and how they make decisions. Then, you’ll dive into the core concepts of MCP: Tools, Resources, and Prompts, and see how they enable the creation of agents with real capabilities for reading, writing, and reasoning.The hands-on portion is the heart of the course: you’ll build real MCP clients and servers, create interfaces with Streamlit, and connect everything to an LLM to develop a powerful, fully functional conversational chatbot — one that retrieves data, responds intelligently, and executes commands with precision.If you’re looking for autonomy, technical clarity, and real-world AI applications, this course is for you.Welcome aboard!
Who this course is for
For anyone interested in learning how to build agents with MCP in practice.
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