开发者比较 MCP 与 CLI 在 AI 工作流中的用途:CLI 处理模型已掌握的任务(git、gh、npm、docker、文件操作),基于 man 手册,本地登录即用,上下文成本极低;MCP 用于集成 Slack、Notion、Linear、Twitter 等外部服务。作为统一协议,MCP 让团队在 Cursor 中添加一个服务器即可全员使用,一次认证持久保存且本地与云端一致,在 Cursor 中提供丰富图标和可追踪性。结论:CLI 用于个人场景,MCP 用于团队协作。
mcp > cli
im glad this debase is not as active anymore. i use both every day. they just serve different purposes
cli for stuff the model already knows. git, gh, npm, docker, file ops. trained on man pages, and costs almost nothing in context. if im already signed in locally theres no reason to wrap it in anything
mcp for most integrations. slack, notion, linear, twitter
and its neat to have a protocol for all these integrations - add one server to my teams cursor and everyone gets access - auth once, persists, same locally and in cloud