Complete MCP Developer Guide: Agents, Servers & Tools
Complete MCP Developer Guide: Agents, Servers & Tools
Published 8/2025
Duration: 3h 22m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.74 GB
Genre: eLearning | Language: English
Published 8/2025
Duration: 3h 22m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.74 GB
Genre: eLearning | Language: English
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 whereModel 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 tobuild, deploy, and integrate your own MCP servers— turning AI into something that actuallydoes 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:
Project-based— you’ll build real servers, not just read theory
Up-to-date— covering the latest MCP standard as it evolves
Practical— you’ll connect MCP to tools you already use (APIs, email, calendar, databases)
Proven teaching style— trusted by over 500,000 learners worldwide
Supported— with Q&A help and future updates as MCP grows
If you want themost practical, hands-on, and beginner-friendly pathinto 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 workflowswith custom AI assistants
Connect AI to APIs, calendars, and emails
Fetch and process real-world datain real time
Build integrationsthat save time and money
By learning MCP now, you’llbeahead of the curve— with skills companies and clients are actively searching for.
What You’ll Learn
By the end of this course, you’ll:
Understand MCP servers deeply— from core concepts to deployment
Build your own serverwith guided, hands-on projects
Integrate AI with APIs, databases, and external tools
Unlock real-world AI applicationsthat go beyond simple chat
How You’ll Learn
This course is fully project-based. You’ll:
Follow along with real, working examples
Get downloadable code and templates
Reinforce your skills through guided exercises
Build tools you can actually use in your own work
Who This Course Is For
Developers who want to add cutting-edge AI skills
Tech professionals who need to connect AI to real-world systems
Freelancers and entrepreneurs who want to automate and scale tasks
Anyone who wants to stay ahead as AI reshapes every industry
You’ll Get
Lifetime accessto all lessons and future updates
Step-by-step video tutorials(no fluff, just real projects)
Downloadable resources and code
Full Q&A support
30-day money-back guarantee
Ready to Build AI That Actually Works?
Don’t just watch AI happen — be the one building it.
ClickEnroll Nowand 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.
More Info