
一款模型上下文协议(MCP)服务器,提供结构化、基于规范的开发工作流工具,支持AI辅助软件开发,具备实时网页仪表盘和VSCode扩展......
概览
我因个人原因暂时离开了这个仓库,但很快会回来更新,感谢大家的理解 一款模型上下文协议(MCP)服务器,支持结构化规范驱动开发,支持实时仪表盘和 VSCode 扩展。 查看审批系统的运作方式:创建文档,通过仪表盘请求审批,提供反馈,并跟踪修改情况。 探索实时仪表盘:查看规格、跟踪进度、浏览文档并监控开发流程。
概述(AI 翻译)
我因个人原因暂时离开了这个仓库,但很快会带来一些更新 感谢你的理解
一款模型上下文协议(MCP)服务器,支持结构化规范驱动开发,支持实时仪表盘和 VSCode 扩展。
☕ 支持本项目
📺 展示
🔄 审批系统正在运行
查看审批系统的运作方式:创建文档,通过仪表盘请求审批,提供反馈,并跟踪修订情况。
📊 仪表盘与规格管理
探索实时仪表盘:查看规格、跟踪进度、浏览文档并监控开发流程。
✨ 主要特色
- 结构化开发工作流程 - 顺序规范创建(需求→设计→任务)
- 实时网页仪表盘 - 通过实时更新监控规格、任务和进展
- VSCode 扩展 - 面向 VSCode 用户的集成侧边栏仪表盘
- 审批工作流程 - 完成审批流程并进行修订
- 任务进度跟踪 - 可视化进度条和详细状态
- 实现日志 - 所有任务实现的可搜索日志,包含代码统计
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
Spec Workflow MCP
I HAVE TAKEN A SMALL BREAK FROM THIS REPO FOR PERSONAL REASONS BUT I WILL BE BACK WITH SOME UPDATES IN THE NEAR FUTURE THANK YOU FOR YOUR UNDERSTANDING
A Model Context Protocol (MCP) server for structured spec-driven development with real-time dashboard and VSCode extension.
☕ Support This Project
📺 Showcase
🔄 Approval System in Action
See how the approval system works: create documents, request approval through the dashboard, provide feedback, and track revisions.
📊 Dashboard & Spec Management
Explore the real-time dashboard: view specs, track progress, navigate documents, and monitor your development workflow.
✨ Key Features
- Structured Development Workflow - Sequential spec creation (Requirements → Design → Tasks)
- Real-Time Web Dashboard - Monitor specs, tasks, and progress with live updates
- VSCode Extension - Integrated sidebar dashboard for VSCode users
- Approval Workflow - Complete approval process with revisions
- Task Progress Tracking - Visual progress bars and detailed status
- Implementation Logs - Searchable logs of all task implementations with code statistics
- Multi-Language Support - Available in 11 languages
🌍 Supported Languages
🇺🇸 English • 🇯🇵 日本語 • 🇨🇳 中文 • 🇪🇸 Español • 🇧🇷 Português • 🇩🇪 Deutsch • 🇫🇷 Français • 🇷🇺 Русский • 🇮🇹 Italiano • 🇰🇷 한국어 • 🇸🇦 العربية
📖 Documentation in your language:
English | 日本語 | 中文 | Español | Português | Deutsch | Français | Русский | Italiano | 한국어 | العربية
🚀 Quick Start
Step 1: Add to your AI tool
Add to your MCP configuration (see client-specific setup below):
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
}
Step 2: Choose your interface
安装
npx -y @pimzino/spec-workflow-mcp@latest /path/to/your/project配置
{
"mcpServers": {
"spec-workflow": {
"command": "npx",
"args": ["-y", "@pimzino/spec-workflow-mcp@latest", "/path/to/your/project"]
}
}
}