How to deploy your FastMCP Server on FastMCP Cloud

📘Introduction

Welcome to this hands-on FastMCP tutorial! In this guide, we’ll walk you step by step through deploying and testing your first FastMCP server on FastMCP Cloud. Deploying is a crucial step because it makes your FastMCP server accessible, usable, and ready for real-world applications.

✅ 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
🧑🏻‍💻☑️ Existing GitHub account and a GitHub repository
☁️☑️ Created a FastMCP Cloud workspace and connected your GitHub repository

🧑🏻‍💻 Existing GitHub repository

For this tutorial, we’ll use a GitHub repository called mcp.

☁️ Existing FastMCP Cloud workspace

For this tutorial, we’ll use a FastMCP Cloud workspace called mcp-dlnerds.

📤1️⃣ Push your FastMCP Server to your Github Repository

Start by adding your FastMCP server file to your repository.

👉 In our example, the server file is called mcp_server.py.

Stage the file, commit your changes and push to GitHub.

Once done, you’ll see the file successfully appear in your repository.

🚀2️⃣ Deploy MCP Server to FastMCP Cloud

Open FastMCP Cloud and click Deploy from your code.