How to Build a Simple AI Agent Using the Model Context Protocol

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The Model Context Protocol (MCP) allows developers to connect AI models like Claude to external tools, enabling them to fetch real data rather than generate guesses. A beginner-friendly tutorial published on DEV Community walks through building a weather-query AI agent using Python 3.11, the official MCP Python SDK, and Claude Desktop. The agent follows a structured request flow: a user query passes through Claude, an MCP client, and an MCP server before reaching a custom tool that returns structured data. Developers register Python functions as callable tools using the FastMCP library, and Claude autonomously decides when to invoke them based on user intent. The same architecture can be applied to a range of use cases, including coding assistants, customer support bots, and database query agents.

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