Build Your Own CLI Coding Agent: A Practical Guide with Pydantic-AI and MCP

This article details how the author built a command-line coding agent using the Pydantic-AI framework and the Model Context Protocol (MCP). By integrating the Claude model, test runners, a code execution sandbox, documentation search, and AWS tools, the agent enables code testing, debugging, documentation lookup, and code modification, significantly boosting development efficiency. The author highlights the importance of MCP in extending agent capabilities and the benefits of building a custom agent to fit specific project needs. Ultimately, the agent acts as an intelligent programming partner, collaborating with developers to write, debug, and test code.