lanhu-mcp (dsphper/lanhu-mcp) is an open-source AI project on GitHub. Repository summary: ⚡ 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 Its focus includes MCP and tool-calling integration. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
1,437
Features
- Core capability: ⚡ 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
- Provides MCP or tool-calling integration
- Repository: dsphper/lanhu-mcp
- Primary language: Python
- Open-source license: MIT
- GitHub traction: about 1,437 stars
Use Cases
- Connects external systems into agent workflows
- Build internal AI workflow prototypes with lanhu-mcp
- Validate lanhu-mcp in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
- Improving team engineering productivity
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/dsphper/lanhu-mcp. Community traction is around 1,437 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Build internal AI workflow prototypes with lanhu-mcp, Validate lanhu-mcp in production-like engineering scenarios.
