Ross ROSS = Recommend OSS · open-source software intelligence for agents

dsphper/lanhu-mcp

⚡ 需求分析效率提升 200%!全球首个为 AI 编程时代设计的团队协作 MCP 服务器,自动分析需求自动编写前后端代码,下载切图 observed · 2026-08-28

github.com/dsphper/lanhu-mcp · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 92
  • Longevity 18
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 14
  • age_days: 259
  • days_rel: 58
  • days_push: 7
  • n_releases_24m: 8

Full methodology

Adoption not part of the score

2248 stars · 253 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Model Context Protocol (MCP) server that integrates the Lanhu design collaboration platform with AI coding assistants like Cursor, Claude Code, and Cline. It extracts Axure requirement prototypes, analyzes design specs (dimensions, colors, fonts) into HTML+CSS references, downloads design slices, and provides a shared team knowledge board across AI IDEs.

Use cases

  • let Cursor or Claude Code read Lanhu requirement documents and design mockups
  • automatically analyze Axure prototypes from a development or testing perspective
  • extract design parameters like sizes, spacing, colors, and fonts from Lanhu designs
  • download design slices and icons with semantic file naming for AI-generated frontend code
  • convert Lanhu design schemas into HTML+CSS reference code
  • share requirement analysis and context across a team's AI assistants via a knowledge board

When to choose

  • your team uses Lanhu for design collaboration and AI coding tools that support MCP
  • you want AI assistants to consume requirement docs and design specs directly
  • you need automated design-to-code reference generation and asset extraction

When to avoid

  • your design team uses Figma, Sketch, or Zeplin instead of Lanhu
  • your AI tooling does not support the Model Context Protocol
  • you need a standalone design analysis tool without an MCP-capable client

Facets

service · maturity active

mcp agent-framework image-processing developer-tools documentation large-language-models developer-tools web-development web-design python cross-platform cli mcp-server lanhu design-to-code axure requirements-analysis ai-coding fastmcp team-collaboration design-slice-export ai-agents

1 source

Member repositories

RepositoryRoleHealth v2
dsphper/lanhu-mcpmain80

For agents

markdown · JSON · MCP: product_card(name="dsphper/lanhu-mcp")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem