CLI Over MCP: Why AI Agents Need a Different Kind...

MCP-style tool calling works — but for database tasks, it creates unnecessary back-and-forth. Here’s why a well-designed CLI gives agents a tighter feedback loop, fewer recovery turns, and a more reliable path to self-correction. AI agents are increasingly being asked to inspect schemas, write queries, recover from errors, and work with real databases. One common approach is through MCP-style tool calling, where actions such as listing tables, describing schemas, and executing queries are expose