mcp 是做什麼的？
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
讓 AI 代理能夠可靠運作 — 提供安全存取結構化資料、執行行動的工具，以及做出智慧決策所需的上下文。
mondaycom/mcp 是一個專為 AI 代理設計的技能，旨在提升其運作可靠性。透過這項技能，AI 代理可以安全存取 monday.com 平台上的結構化資料，例如工作項目、專案進度與團隊協作資訊。同時，它提供多種工具讓代理能直接執行行動，像是更新任務狀態、指派負責人或建立新項目，無需人工介入。此技能支援 Claude Code、Cursor 及 Codex 等開發工具，讓 AI 能在真實工作流程中擔任更積極的角色。mondaycom/mcp 的核心價值在於賦予 AI 代理必要的上下文與行動能力，使其能在複雜的企業環境中做出具備情境感知的智慧決策。這不僅提升生產力，也確保資料安全與操作合規，是現代開發團隊整合 AI 與專案管理的最佳橋樑。
npx skills add mondaycom/mcpEnable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".