lanhu-mcp
Lanhu MCP Server 2.0 automatically analyzes requirements and generates frontend and backend code.
- Region
- Domestic
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.9k
- Source
- GitHub
- Added
- 2026-07-08
- Last verified
- 2026-07-08
Overview
Lanhu MCP Server 2.0 is a powerful Model Context Protocol (MCP) server designed for the AI programming era. It can automatically extract and analyze Axure prototypes, supporting three analysis modes (development/test/exploration) with an accuracy rate exceeding 95%. Additionally, it supports downloading UI design files and intelligent slicing, and provides a team knowledge base sharing feature to break the AI IDE silo. By connecting to the same knowledge hub, all AI assistants can share requirement analysis results and experiences, improving team collaboration efficiency.
Key features
- ▪Intelligent requirement analysis with accuracy >95%
- ▪Team knowledge base sharing to break AI IDE silos
- ▪Automatic download and intelligent processing of UI design assets
- ▪Smart caching and incremental updates based on version numbers
Use cases
Pros
- +Analyze requirements once, reuse across the team
- +Supports multiple AI development tools
- +Performance optimized with concurrent processing support
- +Detailed extraction of UI design parameters
Limitations / notes
- -Requires AI models with visual capabilities
- -Requires configuring Lanhu Cookie
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, the project is open-source and free.
Do I need scientific internet access?
No, but you need to configure the Lanhu Cookie.
Does it support Chinese?
Yes, both project documentation and interface are in Chinese.
Can it be used commercially?
Yes, the project uses the MIT license.
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