Is the lanhu-mcp MCP server actively maintained?

The lanhu-mcp MCP server was last committed 1d ago and has 18 contributors. Issue health: 54% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

lanhu-mcp MCP Server

Name: dsphper/lanhu-mcp
Rating: 4.3 (1 reviews)
Author: dsphper

dsphper/lanhu-mcp

Score: 83.7 Rank #1139 MCP Server

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⚡ 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

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Overview

dsphper/lanhu-mcp is a Python tool licensed under MIT. ⚡ 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 Topics: ai, ai-agents, ai-coding, ai-tools, mcp, mcp-tools, mcp-service.

Ranked #1139 out of 24840 indexed tools.

In the top 5% of all indexed tools.

Has 2,421 GitHub stars.

Has 18 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

aiai-agentsai-codingai-toolsmcpmcp-toolsmcp-service

Score Breakdown

Stars 15% 2,421

2,421 stars → well-known project

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 54%

55/101 issues closed → decent issue management

Contributors 10% 18

18 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 269

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 2,421
Forks: 269
Open Issues: 46
Closed Issues: 55
Contributors: 18
Dependents: —
Language: Python
License: MIT
Last Commit: 1d ago

Matched Queries

topic:mcp

From the README

<div align="center">

# 🎨 Lanhu MCP Server | 蓝湖MCP服务器

**让所有 AI 助手共享团队知识，打破 AI IDE 孤岛**

**lanhumcp | 蓝湖mcp | lanhu-mcp | 蓝湖AI助手 | 蓝湖skills | Lanhu AI Integration**

[English](README_EN.md) | 简体中文

[快速开始](#-快速开始) • [功能特性](#-核心特性) • [使用文档](#-使用指南) • [贡献指南](CONTRIBUTING.md)

</div>

---

## 🌟 项目亮点

一个面向蓝湖设计交付与需求阅读的 [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) 服务器。由 MCP 提供来源数据和资源，大模型结合画面理解并适配目标工程。

**v1.8.6：需求页支持按文字、稳定块 ID、分块 ID 或坐标精确取局部图；长页分片保持横向完整。** [版本说明](RELEASE_NOTES_v1.8.6.md) · [设计工作流](DESIGN_CONTEXT.md) · [维护流程](MAINTAINING.md)

🔥 **核心创新**：
- 📋 **需求分析支持**：提取 Axure 页面、文字与注释，提供开发、测试、探索视角；业务结论由 AI 与使用者核对。
- 💬 **团队知识库**：打破 AI IDE 孤岛，让所有 AI 助手共享知识库和上下文
- 🎨 **UI设计支持**：自动下载设计稿，智能提取切图，语义化命名；设计图分析可获取尺寸/间距/颜色/字体等精确参数，并得到转换后的 HTML+CSS 代码参考
- ⚡ **性能优化**：基于版本号的智能缓存，增量更新，并发处理

🎯 **适用场景**：
- ✅ Cursor + 蓝湖：让 Cursor AI 直接读取蓝湖需求文档和设计稿
- ✅ Windsurf + 蓝湖：Windsurf Cascade AI 直接读取蓝湖需求文档和设计稿
- ✅ Claude Code + 蓝湖：Claude AI 直接读取蓝湖需求文档和设计稿
- ✅ OpenClaw + 蓝湖：OpenClaw 原生支持读取蓝湖需求文档

Read full README on GitHub →