Learn to build a Model Context Protocol (MCP) server using Python and the FastMCP library. The guide walks through creating tools that AI models can access, including functions for adding numbers, generating random words, and fetching live weather data. It covers environment setup, logging configuration, tool definition with decorators, and deployment to Sevalla cloud platform. MCP enables AI models to securely connect to external systems, APIs, and data sources through structured server interfaces.
Table of contents
What is Model Context Protocol?Setting Up Your EnvironmentCreating the ProjectConfiguring LoggingCreating the MCP ServerDefining ToolsRunning the ServerTesting the ToolsDeploying Your MCP Server to SevallaWhy Build Your Own MCP Server?Expanding the ServerConclusionSort: