by dsphper · MCP Server · ★ 2.0k
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🎨 Lanhu MCP Server | 蓝湖MCP服务器2.0 让所有 AI 助手共享团队知识,打破 AI IDE 孤岛 lanhumcp Lanhu AI Integration English | 简体中文 快速开始 • 功能特性 • 使用文档 • 贡献指南 🌟 项目亮点 一个功能强大的 Model Context Protocol (MCP) 服务器,专为 AI 编程时代设计,完美支持蓝湖(Lanhu)设计协作平台。 🔥 核心创新: 📋 智能需求分析:自动提取 Axure 原型,三种分析模式(开发/测试/探索),需求分析准确率95% 💬 团队知识库
| Stars | 1,966 |
| Forks | 219 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.1167718049134/100 |
| Open Issues | 42 |
| Last Updated | 2026-07-17 |
| Created | 2025-12-17 |
| Platforms | mcp, python |
| Est. Tokens | ~19k |
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lanhu-mcp is ⚡ 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. It is categorized as a MCP Server with 2.0k GitHub stars.
lanhu-mcp is primarily written in Python. It covers topics such as ai, ai-agents, ai-coding.
You can find installation instructions and usage details in the lanhu-mcp GitHub repository at github.com/dsphper/lanhu-mcp. The project has 2.0k stars and 219 forks, indicating an active community.
lanhu-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lanhu-mcp on Agent Skills Hub include hexstrike-ai, pg-aiguide, ai-devkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.