Free Download Complete MCP Developer Guide Agents, Servers & Tools
Published 8/2025
Created by Nikolai Schuler,Alejandro AO
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 46 Lectures ( 3h 21m ) | Size: 2.74 GB
Step-by-step guide to AI agents with MCP: build servers, integrate APIs, and unlock real AI applications
What you'll learn
Understand the Model Context Protocol (MCP) ecosystem
Build and deploy custom MCP servers
Integrate authentication and security with MCP
Connect MCP servers with real-world APIs and databases
Requirements
Basic programming experience - familiarity with Python (variables, functions, and packages) is helpful, but not strictly required
General understanding of APIs and web applications - knowing what an API is and how applications exchange data will make concepts easier to follow.
Tools & setup - a computer with internet access, a code editor (such as VS Code), and Python installed. We'll walk through environment setup step by step.
Description
Be ahead of the curve and build Real AI Agents with Model Context Protocol (MCP)AI is powerful - but on its own, it's limited. Without access to tools, APIs, and real-world data, AI agents can't do much beyond generating text.That's where Model Context Protocol (MCP) comes in. MCP is the new standard for giving AI real capabilities: connecting models to APIs, databases, and even your own computer.In this hands-on course, you'll learn step by step how to build, deploy, and integrate your own MCP servers - turning AI into something that actually does things.Why This Course Over Others?Most resources on MCP are either incomplete or highly technical without context. This course is different because it is
roject-based - you'll build real servers, not just read theoryUp-to-date - covering the latest MCP standard as it evolvesPractical - you'll connect MCP to tools you already use (APIs, email, calendar, databases)Proven teaching style - trusted by over 500,000 learners worldwideSupported - with Q&A help and future updates as MCP growsIf you want the most practical, hands-on, and beginner-friendly path into MCP, this is the course.Why Learn MCP?MCP is quickly becoming the backbone of next-generation AI. Early adopters are already using it to:Automate workflows with custom AI assistantsConnect AI to APIs, calendars, and emailsFetch and process real-world data in real timeBuild integrations that save time and moneyBy learning MCP now, you'll be ahead of the curve - with skills companies and clients are actively searching for.What You'll LearnBy the end of this course, you'll:Understand MCP servers deeply - from core concepts to deploymentBuild your own server with guided, hands-on projectsIntegrate AI with APIs, databases, and external toolsUnlock real-world AI applications that go beyond simple chatHow You'll LearnThis course is fully project-based. You'll:Follow along with real, working examplesGet downloadable code and templatesReinforce your skills through guided exercisesBuild tools you can actually use in your own workWho This Course Is ForDevelopers who want to add cutting-edge AI skillsTech professionals who need to connect AI to real-world systemsFreelancers and entrepreneurs who want to automate and scale tasksAnyone who wants to stay ahead as AI reshapes every industryYou'll GetLifetime access to all lessons and future updatesStep-by-step video tutorials (no fluff, just real projects)Downloadable resources and codeFull Q&A support30-day money-back guaranteeReady to Build AI That Actually Works?Don't just watch AI happen - be the one building it.Click Enroll Now and start creating AI agents that go beyond text.See you inside the course.Who this course is for
AI engineers and developers who want to extend the capabilities of AI agents by connecting them to real-world tools, APIs, and databases.
Software engineers interested in learning how to build secure, production-ready integrations between AI models and external systems.
Educators, researchers, and hobbyists who want to experiment with MCP and create custom tools for their own projects.
Anyone curious about AI infrastructure - whether you're a beginner exploring how AI connects to applications or a professional looking to deepen your technical skill set.
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