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Free MCP & Agent Protocols Course: Build AI Tool Integrations

A practical 10-lesson path covering Model Context Protocol from concept to implementation. You will build servers and clients with TypeScript and Python, connect Claude and ChatGPT to real APIs, and learn to design secure...

10 lessons 4h 57min total Free

Course overview

This course is a deep dive into Model Context Protocol, the open standard that allows large language models to interact dynamically with external applications, APIs, and data streams. Across ten instructor-led videos from channels like NetworkChuck, IBM Technology, and Microsoft Developer, you will move from understanding MCP's client-server architecture to deploying functional servers. The curriculum covers tool and resource schemas, gateway routing, Agent-to-Agent communication, and secure workflow orchestration. By studying practical demonstrations with Claude, Cursor, and Apache Kafka, you will gain a clear picture of how to standardize agentic microservices and reduce integration complexity for modern AI systems.

Who this course is for

This course is built for software developers and AI engineers who are comfortable with APIs and want to move beyond basic chatbot interactions. A foundational understanding of TypeScript or Python is helpful, as lessons include building servers from scratch. It is also valuable for technical architects evaluating protocol standardization and for machine learning practitioners looking to connect models to real-time data and third-party services without hardcoded integrations.

How to study this sequence

Begin with the high-level conceptual explanations from Greg Isenberg and codebasics to anchor your understanding, then follow the step-by-step builds by KodeKloud and Fireship. Treat the longer Microsoft Developer and Web Dev Simplified sessions as practical workshops, coding along with the TypeScript and Python examples. After studying server and client fundamentals, examine the architecture comparison by IBM Technology and the real-time data integration patterns with Confluent to see MCP applied in enterprise contexts.

What you should be able to do

By the end of this course, you will be able to construct custom MCP servers and clients, define typed tool schemas, and enable large language models to execute real actions safely. You will understand how to replace fragile custom API integrations with standardized discovery mechanisms and will be ready to build agentic microservices that connect AI reasoning to tools like databases, browsers, and event streams.

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What you learn in this MCP and Agent Protocols course

This course organizes 10 MCP and Agent Protocols lessons in a practical order, starting with the base and moving toward examples you can repeat in your own projects.

The main practice points are Understand how Model Context Protocol enables LLMs to access real tools and APIs, Deploy MCP servers using Docker containers, Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers and Build custom MCP servers to integrate specialized applications and services. Use this page to review the course proposal, check the key topics, and open the lessons in the recommended order.

What you will practice

  • Understand how Model Context Protocol enables LLMs to access real tools and APIs
  • Deploy MCP servers using Docker containers
  • Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers
  • Build custom MCP servers to integrate specialized applications and services
  • Implement advanced MCP patterns for complex workflows
  • Deploy and manage MCP gateways for enterprise integrations

Concepts covered

Model Context Protocol (MCP) LLM tool integration Client-server architecture API standardization Container-based deployment Tool schemas and definitions MCP Gateway routing Workflow orchestration

Course lessons

10 tutoriais organizados em sequência.

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Course summary

This MCP and Agent Protocols course brings together 10 lessons in a guided sequence. It starts with "you need to learn MCP RIGHT NOW!! (Model Context Protocol)" and moves step by step, so each lesson supports the next one and helps turn the topic into practice.

During the course, the practical focus is on Understand how Model Context Protocol enables LLMs to access real tools and APIs, Deploy MCP servers using Docker containers, Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers and Build custom MCP servers to integrate specialized applications and services. These points help you watch with a goal instead of treating the lesson as a loose introduction.

The course also introduces important ideas such as Model Context Protocol (MCP), LLM tool integration, Client-server architecture, API standardization and Container-based deployment, which makes it easier to understand later tutorials and decide when each resource is useful.

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How to get more from this course

Who this MCP and Agent Protocols course is for

This advanced course is for learners who already understand the fundamentals of MCP and Agent Protocols and want to develop deeper technical or professional skills.

What you can do after finishing

By the end, you should be able to review the main idea of the course and practice Understand how Model Context Protocol enables LLMs to access real tools and APIs, Deploy MCP servers using Docker containers, Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers and Build custom MCP servers to integrate specialized applications and services with more confidence.

Recommended study order

Watch the 10 lessons in the order shown on this page. Pause after each lesson to repeat the examples and only move on when the previous step makes sense.

What to study next

After finishing the course, explore the MCP and Agent Protocols topic to find related tutorials and keep studying with more context.

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Course questions

Is this MCP and Agent Protocols course for beginners?

No. This course covers advanced MCP and Agent Protocols topics and is best suited to learners who already understand the fundamentals.

How many lessons are in this course?

This course currently has 10 lessons and about 4h 57min in total.

What should I do after finishing the course?

The best next step is to explore the MCP and Agent Protocols topic and choose a related tutorial that matches what you want to practice.

Is this course free?

Yes. This is a free course organized by CursoB so you can study MCP and Agent Protocols in a structured sequence.

Do I need previous experience to follow the course?

Yes. You should already understand the fundamentals of MCP and Agent Protocols before starting this advanced course.

Should I watch the lessons in order?

Yes. The recommended path is to watch the 10 lessons in the order shown, because each lesson helps prepare the next one.

Can I use this course for practical projects?

Yes. Use the course as a practical reference to train Understand how Model Context Protocol enables LLMs to access real tools and APIs, Deploy MCP servers using Docker containers, Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers and Build custom MCP servers to integrate specialized applications and services and adapt the examples to your own projects.

Does this course include a certificate?

CursoB stopped issuing certificates for its own courses in May 2026. CursoB no longer offers completion certificates. Courses and tutorials remain free to study. If content is hosted on another platform, any certificate depends exclusively on the original author or platform rules.

Are the lessons updated?

CursoB periodically reviews the MCP and Agent Protocols catalog and may add, remove, or reorder lessons when better content is found.

Where can I find more content on this subject?

Explore the MCP and Agent Protocols topic to find related tutorials and complementary courses.

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What each course lesson covers

Use these notes to understand the sequence before opening each lesson.

  1. 01 you need to learn MCP RIGHT NOW!! (Model Context Protocol) In this lesson, you practice Understand how Model Context Protocol enables LLMs to access real tools and APIs, Deploy MCP servers using Docker containers and Connect multiple LLM clients (Claude, LM Studio, Cursor) to MCP servers.
  2. 02 Model Context Protocol (MCP), clearly explained (why it matters) In this lesson, you practice Understand how Model Context Protocol standardizes LLM-to-tool communication, Recognize the limitations of standalone LLMs and why tool integration is essential and Identify the four components of the MCP ecosystem and their functions.
  3. 03 Claude’s Model Context Protocol is here… Let’s test it In this lesson, you practice Understand the fundamentals of Anthropic's Model Context Protocol, Build a functional MCP server using TypeScript and Design context providers that deliver real-time data to Claude.
  4. 04 Model Context Protocol (MCP) Explained for Beginners: AI Flight Booking Demo! In this lesson, you practice Understand how AI agents extend the capabilities of Large Language Models beyond text generation, Learn the fundamentals of Model Context Protocol and its role in standardizing agent-to-tool communication and Configure and set up your first MCP client-server connection in a practical environment.
  5. 05 MCP vs API: Simplifying AI Agent Integration with External Data In this lesson, you practice Understand the differences between Model Context Protocol and traditional API approaches, Learn how MCP enables dynamic discovery and tool execution in AI agents and Apply MCP concepts to simplify external data integration in LLM workflows.
  6. 06 Why MCP really is a big deal | Model Context Protocol with Tim Berglund In this lesson, you practice Understand the fundamental difference between LLM-powered chatbots and agentic AI systems, Learn how Model Context Protocol (MCP) exposes reusable tools and resources for AI agents and Explore the three-layer MCP architecture: host app, client library, and server.
  7. 07 Model Context Protocol Clearly Explained | MCP Beyond the Hype In this lesson, you practice Understand the core concepts of Model Context Protocol and its role in AI application development, Implement MCP client applications that connect to multiple servers and Build custom MCP servers using Python or JavaScript SDKs.
  8. 08 MCP Tutorial: Build Your First MCP Server and Client from Scratch (Free Labs) In this lesson, you practice Understand Model Context Protocol fundamentals and architecture, Build a fully functional MCP server from scratch and Implement MCP clients that communicate with servers.
  9. 09 The Ultimate MCP Crash Course – Build From Scratch In this lesson, you practice Understand the Model Context Protocol architecture and design principles, Build fully functional MCP servers with tools, resources, and prompts and Implement MCP clients that connect to servers and manage AI interactions.
  10. 10 Full Course (Lessons 1-11) MCP for Beginners In this lesson, you practice Understand the core concepts and architecture of Model Context Protocol, Implement security best practices when building MCP servers and applications and Build, test, and deploy MCP applications with real tools and production workflows.