---
title: New MCP Server Tutorial Released
url: https://www.dataloco.com/en/new-mcp-server-tutorial-released
published: 2026-09-16T00:10:59+00:00
language: en
section: Developers
source: https://machinelearningmastery.com/building-a-simple-mcp-server-in-python/
publisher: Dataloco
---

# New MCP Server Tutorial Released

A new tutorial on creating a Model Context Protocol server has been released, providing insights on how to build a task-tracking server using FastMCP. This tutorial is aimed at individuals interested in connecting language models to various tools and data sources through standardized protocols.

The Model Context Protocol (MCP) is an open protocol designed to enhance communication between AI applications and external systems. The tutorial explains how hosts, clients, and servers interact within this framework. Hosts are applications that users engage with, which utilize clients to connect to MCP servers. The tutorial emphasizes that servers expose capabilities such as database access and API integrations while responding to client requests.

In the tutorial, readers learn to build a server that manages a task list. The tutorial provides step-by-step instructions on setting up a basic server using Python 3.10 or later, with FastMCP installed. It guides users through creating functions for adding tasks, marking them as complete, and removing tasks, enabling create, read, update, and delete (CRUD) operations.

Additionally, the tutorial introduces resources that allow the AI application to view data without making modifications. It includes examples of resources that return complete task lists and filter incomplete tasks. Prompts are also discussed as templates that guide AI interactions, ensuring consistency in how the AI processes tasks.

Upon completion of the server setup, users can run and test the server using FastMCP's built-in client, confirming that the tools and resources function as intended. The tutorial encourages users to start with simple servers and gradually expand their capabilities as they become more proficient in building MCP servers.
