Decision guides
CLI vs MCP for AI Agents
Choose between command-line tools, MCP integrations, and APIs based on the work rather than a universal winner.
Compare where execution happens, whose identity is used, what output is returned, and how writes are approved.
Recommended starting points
Start with a common decision or workflow, then narrow the commands and permissions for your environment.
CLI vs MCP for AI agents and tool decisions
Each destination is a complete, source-backed page with a clear outcome and operating boundary.
Interface decisions
Tool choices
Agent choices
How to choose the right guide
Compare one task
Evaluate both choices against the same input, identity, output, and success condition.
Locate execution
Decide whether work belongs in a local shell, CI runner, managed integration, or service.
Inspect the permission surface
Compare available commands or tools, credential scope, parameter validation, and write controls.
Choose a fallback
Keep a second interface or recovery route when the preferred option cannot complete the task safely.