Let’s Build an MCP Server

The text provides a detailed guide on building a minimal MCP (Model Context Protocol) Server using Python, which facilitates communication between AI clients and APIs, specifically focusing on Semaphore's API for CI/CD workflows. It describes the process of initializing a Python project, creating a virtual environment, and installing necessary dependencies such as `httpx` and `mcp[cli]`. The guide explains how to authenticate and interact with Semaphore's API to retrieve project data, and how to define functions within the MCP server using FastMCP's tools, such as a `list_projects` function that returns project names. The server is then tested using the MCP Inspector, allowing for interactive debugging and testing. Finally, the text discusses integrating the MCP server with Codex to enable conversational interactions and highlights the upcoming release of an official Semaphore MCP server that will initially offer read-only capabilities.