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Turn Lanhu design links into AI-readable context for development and review.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lanhu-mcp-codex" yet — see the docs or source repo.
Read this Lanhu design link and organize the page structure, component details, size specs, and interaction notes into a frontend implementation checklist.
A structured development context with page modules, component properties, layout dimensions, and implementation notes.
Analyze this Lanhu project link, extract colors, typography, spacing, button styles, and shared component rules, and point out possible inconsistencies.
A design spec summary plus a list of possible inconsistencies or items needing confirmation.
Convert this Lanhu link into context suitable for an AI coding agent, focusing on page hierarchy, key components, text areas, and interaction states.
Design context text that can be passed directly to an AI agent to generate code closer to the mockup.
Get technical advice, code reviews, and explanations via Codex CLI.
Delegate coding tasks to Codex via MCP with security and result checks.
Connect IDEs or AI assistants to Codex CLI for safe automation and code analysis.
Make project docs instantly accessible so Claude Code understands architecture and conventions.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.
Convert code repositories into searchable knowledge vaults for MCP-based code navigation.