Overview
Build and deploy functional MCP servers using multiple transport protocols including STDIO, SSE, and Streamable HTTP, Implement MCP tools, resources, and prompts to create intelligent AI agent integrations with external systems and databases, Develop a complete end-to-end MCP server application with recipe management, search functionality, and meal planning capabilities, Test, debug, and deploy MCP servers to production environments while integrating them with popular AI platforms like Claude Desktop
Developers and Software Engineers working with AI/LLM applications who want to learn how to seamlessly integrate their AI agents and chatbots with external APIs, databases, and services using the emerging Model Context Protocol standard., AI Enthusiasts and Technical Professionals with basic programming knowledge who are interested in building next-generation AI integrations and want to stay ahead of the curve by mastering MCP before it becomes mainstream., Backend Developers and System Integrators who need to create robust, standardized connections between AI systems and existing enterprise tools, databases, or third-party services for their organizations or clients.
Basics of Python and AI
Unlock the power of seamless AI integrations with the Model Context Protocol (MCP) in this comprehensive, hands-on course designed for developers and AI enthusiasts!
You'll dive deep into MCP, the universal adapter that's revolutionizing how AI applications communicate with external systems. Whether you're building LLM-powered tools or AI agents, MCP provides the standardized bridge between your AI and the world of APIs, databases, and services.
You'll start by exploring what MCP is and why it's essential for modern AI applications. Then we'll examine server-client architecture, dive into the three core MCP transports (STDIO, SSE, and Streamable HTTP), and understand how MCP solves critical integration challenges for LLMs and AI agents.
What You'll Learn:
MCP Fundamentals: Master the architecture, core concepts, and communication lifecycle of MCP servers and clients
Transport Protocols: Deep dive into STDIO, SSE, and Streamable HTTP transports with their pros and cons
Hands-on Development: Build multiple MCP servers from simple chat tools to complex SQL-powered systems
MCP Resources & Prompts: Implement advanced features like dynamic resources and intelligent prompting
Real-World Projects: Create a complete Recipe MCP Server with tools, resources, and prompts
Production Deployment: Deploy your MCP servers remotely and integrate them with VS Code, Claude Desktop, and other AI platforms
Testing & Debugging: Use MCP Inspector and other tools to thoroughly test your implementations
Who This Course is For:
Developers building AI agents and LLM applications
Software engineers wanting to integrate AI with existing systems
AI enthusiasts interested in cutting-edge integration protocols
Beginners with basic programming knowledge who want to build production-ready AI integrations
Hands-on Projects Include:
Community chat MCP server
SQLite-powered country data server
Complete recipe management system with search, storage, and meal planning
Remote deployment on Render with live testing
By the end of this course, you'll be able to build, test, and deploy MCP servers that seamlessly connect AI agents to any external system or API. You'll understand how to create the universal adapters that make AI applications truly powerful and connected.
Whether you're building chatbots, AI assistants, or complex agent systems, this course will equip you with the skills to create robust, scalable AI integrations using the industry's emerging standard.
Join now and master the protocol that's shaping the future of AI integrations!
Codestars • over 2.5 million students worldwide!
Best-selling Udemy instructor Rob Percival wants to revolutionize the way people learn to code by making it simple, logical, fun and, above all, accessible. But as just one man, Rob couldn’t create all the courses his students - more than half a million of them - wanted.
That’s why Rob created Codestars. Together, the instructors that make up the Codestars team create courses on all the topics that students want to learn in the way that students want to learn them: courses that are well-structured, super interactive, and easy to understand. Codestars wants to make it as easy as possible for learners of all ages and levels to build functional websites and apps.