Installing SDK and Tools

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Before building your first MCP server, you have to set up your development environment. MCP can be implemented in various languages like Python, Java, C#, or JavaScript. However, Python is one of the easiest and most suitable choices due to its simplicity, rich ecosystem, and strong support for rapid prototyping.

To install python go to the official website and click download latest version. Then using pip install nessesary dependencies.

pip.py

You'll also need an AI interface that understands context and can trigger server functions. MCP is compatible with multiple AI providers. Here's a list of popular models that support MCP-style integration, especially for interpreting context and invoking functions:

The easiest to use will be Claude Desktop a local interface for the Claude AI model. It's lightweight, user-friendly, and enables direct communication with your MCP server during development.

What You'll Need

Python Interpreter

Python 3.0+
pip (Python package installer)
A code editor (VS Code recommended)

Python Dependencies

mcp[cli] – Official SDK for creating and managing MCP servers
flask – Lightweight web framework used to build your MCP server
requests – For sending HTTP requests to external services and APIs
openpyxl – For reading and writing Excel .xlsx files (used in local integrations)

Claude Desktop

Visit the Claude Desktop Download Page;
Choose your operating system (Windows, Linux, or MacOS);
Follow the installation instructions provided on the page;

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Section 2. Chapitre 1

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Contenu du cours

Creating Custom AI Agents

1. Agentic AI Basics

Introduction to Model Context Protocol MCP Architecture

2. Setting Up and Configuration

Installing SDK and Tools Creating Simple MCP Server Testing