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MCP in Practice: The Future of AI Agents

1h 10m 6s
English
Paid

You will learn how MCP works and how to use it in real projects. This course keeps things clear and practical so you can build and test your own tools fast.

What You Will Learn

You will see the core ideas behind MCP and how each part works. You will also learn how to build an MCP server, since this is the part you will use most in real apps.

Why Build an MCP Server

An MCP server lets you add new tools, data, and actions to AI agents. You will build one step by step, test it, and understand how to use it with common clients.

About the Author: newline (ex fullstack.io)

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Newline is a learning platform for developers. It supports people who want to grow into technical leaders.

Main Features

  1. You can learn front-end, back-end, and modern languages. Courses cover Rust, GraphQL, and topics in artificial intelligence.
  2. A newline Pro subscription gives you access to many courses, video lessons, interactive projects, source code, and a private community.
  3. The free plan offers basic videos, a library of materials, and access to the community.
  4. The platform values community support. You can get help with projects, find co-authors, and share experience with other students and instructors.

Watch Online 6 lessons

This is a demo lesson (10:00 remaining)

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#1: Introduction to MCP and Its Role in the Future of AI Agents
All Course Lessons (6)
#Lesson TitleDurationAccess
1
Introduction to MCP and Its Role in the Future of AI Agents Demo
12:30
2
Understanding MCP’s Architecture
07:47
3
Diving Into MCP Servers and a Workflow Example
07:18
4
Building Your First MCP Server – Let’s Get Coding!
22:18
5
Connecting Your MCP Server to Claude for Desktop
16:17
6
Closing Thoughts and Next Steps
03:56
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