GrappleAI MCP Server
GrappleAI - 面向消费者的主动防御层
一个基于AI的纠纷解决平台,采用React前端和AWS CDK Lambda后端。GrappleAI通过自主代理和模型上下文协议(MCP)在购买后纠纷中为消费者维权。
🚀 快速启动
5分钟内即可运行:
# Frontend
cd app && npm install && npm run dev
# Backend (separate terminal)
cd backend && npm install && npm run cdk:deploy详细说明请参见QUICKSTART.md。
Related MCP server: korean-privacy-law-mcp
📚 文档
入门指南
方法论与愿景
AI-DLC方法论 - AI驱动开发生命周期
传统SDLC - SDLC与AIDLC对比
GrappleAI概念 - 问题陈述与愿景
AI-DLC详情 - 面向消费者的主动防御层
组件文档
🏗️ 架构
React Frontend (Vite)
↓ HTTP/REST
API Gateway (AWS)
↓
Lambda Function (Node.js 20.x)
├─ MCP Server
├─ Request Handler
└─ Business Logic
↓
┌───┴───┬────────┐
↓ ↓ ↓
DynamoDB S3 DynamoDB
Disputes Evidence Negotiations✨ 功能
纠纷管理 - 创建、追踪和管理纠纷
证据验证 - 自动置信度评分与安全存储
自主协商 - AI驱动的卖家协商
消费者权益 - 2019年消费者保护法集成
仪表板分析 - 实时纠纷统计
多语言支持 - 本地语言界面支持
🛠️ 技术栈
前端
React 18 + TypeScript
Vite(构建工具)
Tailwind CSS(样式)
Zustand(状态管理)
React Router(导航)
后端
AWS CDK(基础设施即代码)
AWS Lambda(无服务器计算)
AWS API Gateway(REST API)
AWS DynamoDB(数据库)
AWS S3(存储)
Node.js 20.x
📁 项目结构
grappleai/
├── app/ # React frontend
│ ├── src/
│ │ ├── components/ # React components
│ │ ├── pages/ # Page components
│ │ ├── services/ # API client
│ │ ├── store/ # State management
│ │ └── types/ # TypeScript types
│ └── package.json
│
├── backend/ # AWS CDK backend
│ ├── lib/
│ │ ├── cdk/ # CDK stack
│ │ ├── lambda/ # Lambda handler
│ │ ├── mcp/ # MCP server
│ │ └── types/ # TypeScript types
│ └── package.json
│
├── SDLC to AIDLC/ # Methodology docs
│ ├── AIDLC.md
│ └── SDLC.md
│
├── AI-DLC/ # AI-DLC documentation
│ └── AI-DLC.md
│
├── QUICKSTART.md # 5-minute setup
├── SETUP.md # Complete setup guide
├── PROJECT_OVERVIEW.md # Architecture overview
└── README.md # This file🚀 开始使用
前提条件
Node.js 18+
AWS账户
已配置AWS CLI
前端设置
cd app
npm install
npm run dev访问:http://localhost:5173
后端设置
cd backend
npm install
npm run cdk:deploy连接前后端
更新app/.env.local:
VITE_API_URL=https://your-api-endpoint.com/api📖 API端点
纠纷
POST /disputes- 创建纠纷GET /disputes- 列出纠纷GET /disputes/{id}- 获取纠纷详情PUT /disputes/{id}- 更新纠纷
证据
POST /evidence/upload- 上传证据GET /evidence/{id}- 获取证据POST /evidence/{id}/verify- 验证证据
协商
POST /negotiation/initiate- 开始协商GET /negotiation/{txId}- 获取状态
🔧 MCP服务器工具
后端实现以下MCP工具:
secureEvidence - 通过置信度评分安全存储证据
negotiateRefund - 发起自主协商
generateDisputeNotice - 生成正式纠纷通知
verifyConsumerRights - 验证消费者保护法权益
📊 仪表板功能
统计信息 - 总纠纷数、已解决、处理中、成功率
纠纷列表 - 查看所有纠纷及状态指示
创建纠纷 - 上传证据提出新纠纷
实时更新 - 追踪纠纷进展
🔐 安全
支持JWT/OAuth2
输入验证
IAM角色遵循最小权限原则
静态与传输中数据加密
启用CORS
支持API速率限制
📈 性能
前端:约50KB gzip压缩
Lambda:512MB内存,30秒超时
DynamoDB:按需计费
API:<100ms响应时间
💰 成本估算
月度(中小规模使用):
Lambda:每百万次请求$0.20
DynamoDB:每100个写入单元$1.25
S3:每GB $0.023
API Gateway:每百万次请求$3.50
总计:约$50-200/月
🧪 开发
前端命令
npm run dev # Start dev server
npm run build # Build for production
npm run lint # Run linter
npm run type-check # Check types后端命令
npm run build # Compile TypeScript
npm run cdk:deploy # Deploy to AWS
npm run cdk:destroy # Destroy stack
npm run cdk:diff # Preview changes🚢 部署
前端
Vercel:
vercel deployNetlify:
netlify deploy --prod --dir=distAWS S3:
aws s3 sync dist/ s3://bucket/
后端
cd backend
npm run cdk:deploy📚 了解更多
🤝 贡献指南
创建功能分支
进行修改
运行代码检查和类型检查
提交拉取请求
📄 许可
MIT
🎯 愿景
GrappleAI正在为印度的数字经济构建信任层。通过结合AI、法律和技术,我们致力于为每位消费者创造主动的代言人——确保纠纷以公平、快速且消费者母语的方式得到解决。
准备开始构建? 从QUICKSTART.md开始!
GrappleAI - 面向消费者的主动防御层 一次解决一个纠纷,为印度数字经济建立信任。
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