Fast & Easy MCP: All You Need to Know in 1 Day

Connect, Implement: Master MCP Servers, MCP Clients, and Tools. Build 3 complete projects with OpenAI and MCP.

What you'll learn
- mCP Fundamentals – Structure and operation of the protocol.
- Context Customization – How to define rules to guide the AI.
- System Integration – Connecting AI to APIs and workflows.
- Integration with the CursorAI Tool
- Using Multiple MCP Servers from the Smithery Marketplace
- Developing an MCP Server with FastMCP
- Connecting an MCP Client with Python
- Introduction to A2A and Integration with MCP

Requirements
- Knowledge of Generative AI Tools
- Node.js Installed
- Python Installed
- Understanding of Python Programming Fundamentals

Description
MCP (Model Context Protocol):a protocol that helps build agents and complex workflows on top of LLMs by providing pre-built integrations, flexibility to switch between LLM providers, and data security.

This protocol is essential for understanding how large AI models interact in a more structured way with environments and users. Here are two good reasons to learn about it:

Better Control and Customization of AI– MCP allows for defining more precise contexts for language models, making interactions more predictable and useful. This is essential for companies that want to use AI in a more controlled and efficient way.

Easier Integration with Complex Systems– The protocol helps AI work better with other tools, APIs, and databases, making implementation more robust and reliable. This is useful for developers looking to integrate AI into real-world products.

Course Description:

Introduction to MCP

Explanation of what MCP (Master Control Protocol) is.

Understanding the architecture of MCP.

Exploring Smithery

How to discover new MCP Servers using Smithery.

Cursor AI: Installation and Setup

Installing and configuring the Cursor AI tool.

Overview of the tool.

Integrating the MCP Server into the Cursor AI platform.

Introduction to N8N and Workflows

Concept of N8N and its applications.

What workflows are in N8N and how they work.

Creating Automation Workflows with AI

Developing automated workflows using the OpenAI API.

Integrating MCP Server into the workflows created in N8N.

Developing Custom MCPs with FastMCP

Introduction to FastMCP.

How to develop custom MCP Servers.

How to connect MCP Servers with MCP clients.

Examples of practical applications.

Practical Projects with MCP and OpenAI

An intelligent Wikipedia search tool

A dynamic news aggregator

Introductory Section: Google’s A2A

What Google’s A2A (Agent-to-Agent) is.

Comparisons between A2A and MCP.

When to use each protocol and their respective approaches.

Who this course is for:
- AI Developers and Engineers – Professionals looking to integrate AI into systems and optimize interactions with models.
- AI Researchers and Specialists – Individuals interested in language model safety, alignment, and control.
- AI and Automation Enthusiasts – Those who want to understand how to shape and apply advanced models in everyday scenarios.
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