A new tutorial on DEV Community shows developers how to build a local MCP server using Python. The guide walks through setting up a virtual environment, installing the MCP CLI, and writing a simple calculator tool with functions for addition, subtraction, multiplication, and division. The final server connects directly to Claude Desktop as a client.

This tutorial demonstrates the growing accessibility of Model Context Protocol technology for developers. By providing a local server with specific tools, it allows AI assistants like Claude to perform precise calculations instead of relying on their own potentially error-prone reasoning. It's a practical example of extending AI capabilities with custom, reliable functions.

The process involves using the FastMCP framework to define tool functions and running the server via stdio. After installation in the Claude app, users can test the integration by asking for arithmetic operations. This approach mirrors a broader industry trend where developers are building specialized MCP servers to give AI models controlled access to external data and functions.