Every AI agent that touches the outside world does it one of two ways: it runs a shell command, or it calls a tool through the Model Context Protocol. Both get the job done, but they don't cost the same or fail the same way, which is why "MCP vs CLI" keeps resurfacing without resolving. I want to answer it for the cases that matter most: plain developer tooling, data-heavy systems like banking, forecasting pipelines, and transaction automation like billing or booking. Neither wins outright. Where you draw the line is the actual skill. Key Takeaways CLI is the default for anything the model already knows cold, git, file ops, text processing, since there's no schema tax and commands chain through pipes. MCP earns its cost when a system needs per-user auth, audit trails, or access to sources the model can't otherwise reach, exactly what regulated systems like banking require. Transaction automation works best split: deterministic code drives the repeatable steps, a...
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