The Seven Deadly Sins of MCP

Model Context Protocol (MCP) is one of the most useful ideas to hit the LLM tooling space in a long time. It gives us a common way to connect models to tools, data, and systems without inventing a fresh integration pattern every week. That is the good news. The bad news is that MCP also makes it much easier to wire LLMs into real systems before a team has earned the operational discipline to do that safely. We can now connect a model to databases, filesystems, an issue tracker, a shell, or a production API with startling ease. That power is real. But so is the blast radius. MCP's popularity forces us to ask: Does MCP really need to be used for every use case? For instance, a local single-user workflow may still be better served by a direct CLI or API. But once the interface itself needs to be standardized across clients, MCP becomes something broader than a tool wrapper. The protocol standardizes not only tools , but also prompts and resources , and it supports both local stdio servers