Model Context Protocol (MCP): An End-To-End Tutorial With Hands-On Project with Python

What is MCP? How to create an MPC Server that brings news from a web site with Claude Desktop?

The world of artificial intelligence is constantly evolving and we wake up to new news almost every day. What we need to learn now is MCP (Model Context Protocol). Before moving on to what it is and its purpose, let’s look at what the protocol means.

What is Protocol?

In the computer world, a protocol is a set of rules that determine how two systems will communicate with each other. Protocols regulate data transfer in computer networks, internet communication, and between software systems.

For example:

• HTTP (Hypertext Transfer Protocol): Allows websites to communicate with browsers.
• TCP/IP (Transmission Control Protocol/Internet Protocol): Defines how data packets on the internet will be routed.
• JSON-RPC (Remote Procedure Call): A protocol that allows data exchange in JSON format.

Now we can move on to MCP and its features.

What is Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open protocol that enables large language models (LLMs) to integrate with external data sources and tools in a standardized way. Developed by Anthropic, this protocol makes it easy for AI models to work seamlessly with a variety of tools and data sources.

MCP can be likened to the USB-C port, which has become a global standard for device connections. Just as USB-C provides a common connection point between different devices, MCP enables AI systems to communicate with data and tools in a standard way.

Why Use MCP?

MCP functions similarly to APIs, but has a wider potential for use. While traditional APIs require a separate implementation for each integration, a single integration with MCP provides access to many different data sources and tools.

MCP also provides two-way communication. In other words, an AI model can not only receive data, but also trigger…