📘Introduction

Welcome to this hands-on FastMCP tutorial! In this guide, we’ll walk you step-by-step through configuring the transport method for your FastMCP server. By the end, you’ll understand the different transport mechanisms available and how to use them in the run() statement.

✅ 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
🛠️☑️ At least one tool added to your FastMCP Server

💡What Transport Methods are available in FastMCP?

First, it’s important to understand the Transport Layer in an MCP (Model Context Protocol) architecture. If you’re new to this concept, check out:

Understanding the Transport Layer in MCP Architecture
📘Introduction Welcome to this MCP tutorial! In this guide, we’ll walk step-by-step through the Transport Layer in Model Context Protocol (MCP) architecture. By the end, you’ll understand how the transport layer facilitates efficient and reliable communication between clients and servers. 💡What is the Transport Layer? In the Model
Deep Learning Nerds | The ultimate Learning Platform for AI and Data ScienceAI Developer

FastMCP currently supports the following transport mechanisms:

🔵 STDIO Transport (default)
🟡 HTTP Transport
🟣 SSE Transport

🔌 Example FastMCP Server

We've already created a FastMCP Server instance called Deep Learning Nerds MCP Server 📘 and added a tool list_tutors() to the MCP Server. Our FastMCP Server should be able to return a static list of the Deep Learning Nerds tutors.

🚛 Add transport argument to the Run Statement

Let’s explore how to use the different transport mechanisms in your Python code. To configure a transport mechanism, simply pass it as an argument to the run() statement in your server script.

🔵 STDIO Transport

STDIO Transport is the default, so you don’t need to specify it explicitly. Use the following code:

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