Step-by-Step Guide Shows How to Build an AI Agent Using Model Context Protocol

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A tutorial published on DEV Community walks developers through building a basic AI agent using the Model Context Protocol (MCP) and Python. The guide demonstrates how an AI assistant can receive a user query, decide whether to call an external tool, and return a structured, natural-language response. Using a weather lookup as a working example, the tutorial covers setting up a Python virtual environment, installing the MCP SDK, and registering custom tools on an MCP server. The same architecture, the author notes, applies to broader use cases such as coding assistants, customer support bots, and database query agents. The article is part of an ongoing MCP series aimed at developers with basic Python knowledge who want a practical introduction to AI agent development.

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