# 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

Repository: https://github.com/dsphper/lanhu-mcp
Canonical: https://ross.abutalabs.com/products/lanhu-mcp
Language: Python
License: MIT
License Family: permissive
Topics: ai, ai-agents, ai-coding, ai-tools, mcp, mcp-tools, mcp-service
Last push: 2026-08-26T16:45:23+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 92, longevity 18
- inputs: {"age_days": 259, "days_push": 7, "days_rel": 58, "gap_med": 14, "n_releases_24m": 8}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2248, forks 253 (observed 2026-08-28T04:06:30.299671+00:00)

## What it is
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
- artifact type: service
- maturity: active
- function: mcp, agent-framework, image-processing, developer-tools, documentation
- domain: large-language-models, developer-tools, web-development, web-design
- platform: python, cross-platform, cli
- tags: mcp-server, lanhu, design-to-code, axure, requirements-analysis, ai-coding, fastmcp, team-collaboration, design-slice-export, ai-agents

## Member repositories
- dsphper/lanhu-mcp (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.299671+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:43:56.239006+00:00, confidence not recorded.
  - readme: https://github.com/dsphper/lanhu-mcp (fetched 2026-08-28T04:06:30.299671+00:00, sha 59e674be80d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.