Cách dùng Codex hoặc Claude đọc ngữ cảnh MCP để tạo bản nháp LaiCai Flow, rồi review, kiểm chứng và chạy an toàn. LaiCai Screen Mirroring.
Cách dùng Codex hoặc Claude đọc ngữ cảnh MCP để tạo bản nháp LaiCai Flow, rồi review, kiểm chứng và chạy an toàn.
Vì sao MCP thay đổi cách tạo draft
MCP gives AI tools structured context instead of asking them to rely on memory. For Android automation, that means the assistant should read generation rules, node schema, assets, and device context before drafting a Flow.
LaiCai Screen Mirroring keeps the run visible: Codex or Claude helps draft, while LaiCai Flow executes and records the authorized workflow.
Ngữ cảnh LaiCai MCP cần cung cấp
LaiCai MCP context should include naming rules, profile defaults, stop-on-failure behavior, asset boundaries, device list, and the node schema. If package names or visual targets are unknown, the assistant should not guess.
In this session the live LaiCai MCP tools were not exposed, so the article uses local MobileFarm product docs and verified Flow publishing context as the source of truth.
Luồng draft an toàn
A safe request names the target app, account type, environment, evidence, and stop boundary. A good draft may open a staging app, use a test account, capture a screenshot, use OCR, and stop before a risky step.
The first run should be observed through phản chiếu màn hình Android sang PC và Mac.
Ranh giới của MCP tool
MCP tools can read schema, profiles, assets, devices, installed packages, UI trees, screenshots, and recent run state. Save and asset-creation tools need more caution because they change the user's automation library or create fixed visual assumptions.
The model should not guess coordinates, templates, OCR regions, model classes, package ids, or destructive actions.
Vai trò của LaiCai Flow trong nhóm
The accurate relationship is: Codex or Claude can generate or revise the draft, and LaiCai Flow runs, debugs, logs, and reviews it on authorized Android devices and emulators.
Use công cụ tự động hóa AI Android, hướng dẫn LaiCai Flow, and workflow Android do LLM tạo as the core reading path.
Checklist trước khi lưu
Before saving, verify node types, package source, visual evidence, screenshots or logs, readable Graph View names, and explicit stop boundaries for payment, deletion, account settings, private data, or outbound messages.
The useful pattern is context-aware drafting plus visible execution, not a hidden prompt that controls everything.