为AI助手提供系统化功能开发方法论的MCP(模型上下文协议)工具
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# MCP规范驱动开发工具 一个为AI助手提供系统化功能开发方法论的MCP(模型上下文协议)工具。 [中文文档](README.md) | [English](README-en.md) ## 概述 MCP规范驱动开发工具使AI编程助手能够指导用户通过结构化的三阶段工作流程创建高质量的功能规范: 1. **需求阶段** - 将想法转化为EARS格式的结构化需求 2. **设计阶段** - 创建全面的技术设计文档 3. **任务阶段** - 生成可执行的实施计划 ## 特性 - 🎯 **系统化方法论** - 三阶段工作流确保质量和完整性 - 📝 **EARS格式需求** - 结构化、可测试的验收标准 - 🏗️ **全面设计模板** - 包含架构、组件和测试策略 - ✅ **可执行任务计划** - 具有需求可追溯性的离散编码任务 - 🔍 **内置验证** - 质量检查和文档验证 - 📊 **进度跟踪** - 工作流状态管理和阶段转换 - 🔄 **迭代改进** - 支持反馈和修订 ## 快速开始 ### 安装 #### 使用UV(推荐) ```bash # 克隆仓库 git clone https://github.com/your-org/mcp-spec-driven-development.git cd mcp-spec-driven-development # 使用UV安装 uv sync ``` #### 使用pip ```bash pip install mcp-spec-driven-development ``` ### MCP客户端配置 将服务器添加到你的MCP客户端配置中: #### 快速使用(无需项目代码) ```json { "mcpServers": { "spec-driven-development": { "command": "uvx", "args": [ "mcp-spec-driven-development" ], "env": { "MCP_LOG_LEVEL": "INFO" } } } } ``` #### 使用UV运行(推荐) ```json { "mcpServers": { "spec-driven-development": { "command": "uv", "args": ["run", "python", "-m", "mcp_spec_driven_development"], "cwd": "/path/to/mcp-spec-driven-development", "env": { "MCP_LOG_LEVEL": "INFO" } } } } ``` #### 使用Python模块 ```json { "mcpServers": { "spec-driven-development": { "command": "python", "args": ["-m", "mcp_spec_driven_development"], "env": { "MCP_LOG_LEVEL": "INFO" } } } } ``` ### 基本使用 1. **创建新工作流** ```json { "name": "create_workflow", "arguments": { "feature_name": "user-authentication", "initial_description": "添加用户登录和注册功能" } } ``` 2. **获取需求模板** ```json { "name": "get_template", "arguments": { "template_type": "requirements" } } ``` 3. **验证文档** ```json { "name": "validat…
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