📘Introduction

Welcome to this hands-on FastMCP tutorial! In this guide, we’ll walk step-by-step through how to add a tool to your FastMCP Server. By the end, you’ll have a working server with a custom tool that can be called by AI clients.

✅ Prerequisites

Before you begin, make sure you have the following:

🐍✅ Installed Python
📦✅ Installed Pip
🌐✅ Created and activated a virtual environment (venv)
⚡✅ FastMCP installed inside your venv
⚙️✅ Created a FastMCP Server instance

💡What Are Tools for a FastMCP Server?

In FastMCP, a tool is simply a Python function decorated with @mcp.tool().

  • Each tool exposes some functionality to your server.
  • Clients (like AI assistants or other apps) can then discover and call these tools.
  • Tools can be as simple as returning a static list, or as advanced as making API calls, running ML models, or querying databases.

Think of tools as the skills your server knows how to perform.

🛠️ Add a Tool to your FastMCP Server

We've already created a FastMCP Server instance called Deep Learning Nerds MCP Server 📘.

Now, let’s equip our server with a tool. In this example, the tool returns a static list of Deep Learning Nerds tutors:

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