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pdca-mcp

v0.1.0

Published

PDCA workflow MCP Server for AI-assisted development

Downloads

13

Readme

PDCA-MCP

基于PDCA循环的开发工作流MCP Server,帮助开发者在Cursor等AI编程工具中系统化管理开发流程。

功能特性

  • 🔄 PDCA工作流: 完整的Plan-Do-Check-Act循环
  • 📝 自然语言交互: 用自然语言即可操作,无需记忆命令
  • 📁 文件系统存储: 使用Markdown格式,便于版本控制
  • 🧠 上下文连续性: 自动保持多轮对话的上下文
  • 📋 模板系统: 内置模板,支持自定义模板
  • 🔧 轻量级: 最小依赖,快速启动

安装配置

1. 安装依赖

npm install

2. 构建项目

npm run build

3. 配置Cursor

在Cursor的MCP配置文件中添加:

{
  "mcpServers": {
    "pdca": {
      "command": "node",
      "args": ["D:\\path\\to\\pdca-mcp\\dist\\index.js"],
      "type": "stdio"
    }
  }
}

使用方法

基础工作流

  1. 初始化项目

    初始化PDCA项目
  2. 明确需求

    我要开发用户登录功能
  3. 制定计划

    拆解任务
  4. 执行任务

    开始执行任务1
  5. 验证成果

    检查完成情况
  6. 总结复盘

    总结这次开发

可用工具

  • pdca_init - 初始化PDCA项目
  • pdca_specify - 明确需求
  • pdca_plan - 制定计划
  • pdca_execute - 执行任务
  • pdca_verify - 验证成果
  • pdca_summarize - 总结复盘

项目结构

.pdca/
├── config.json              # 全局配置
├── templates/               # 模板目录
└── pdca-001-{功能名}/       # 需求目录
    ├── requirement.md       # 需求文档
    ├── tasks.md            # 任务列表
    ├── execution.md        # 执行记录
    └── summary.md          # 总结文档

开发

本地开发

# 安装依赖
npm install

# 开发模式(自动编译)
npm run dev

# 构建
npm run build

# 测试
npm test

发布

# 构建并发布
npm run build
npm publish

许可证

MIT License

贡献

欢迎提交Issue和Pull Request!

更新日志

v0.1.0

  • 初始版本
  • 实现基础PDCA工作流
  • 支持6个核心工具
  • 支持上下文管理