GrappleAI MCP Server

GrappleAI MCP Server

Enables AI-powered consumer dispute resolution by providing tools for secure evidence storage with confidence scoring, autonomous negotiation, formal dispute notice generation, and consumer rights verification under the Consumer Protection Act.

Category
Visit Server

README

GrappleAI - Active Defense Layer for Consumers

An AI-driven dispute resolution platform built with React frontend and AWS CDK Lambda backend. GrappleAI advocates for consumers in post-purchase disputes using autonomous agents and the Model Context Protocol (MCP).

πŸš€ Quick Start

Get up and running in 5 minutes:

# Frontend
cd app && npm install && npm run dev

# Backend (separate terminal)
cd backend && npm install && npm run cdk:deploy

See QUICKSTART.md for detailed instructions.

πŸ“š Documentation

Getting Started

Methodology & Vision

Component Documentation

πŸ—οΈ Architecture

React Frontend (Vite)
        ↓ HTTP/REST
API Gateway (AWS)
        ↓
Lambda Function (Node.js 20.x)
        β”œβ”€ MCP Server
        β”œβ”€ Request Handler
        └─ Business Logic
        ↓
    β”Œβ”€β”€β”€β”΄β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”
    ↓       ↓        ↓
DynamoDB  S3      DynamoDB
Disputes  Evidence Negotiations

✨ Features

  • Dispute Management - Create, track, and manage disputes
  • Evidence Verification - Automatic confidence scoring and secure storage
  • Autonomous Negotiation - AI-driven negotiation with sellers
  • Consumer Rights - Consumer Protection Act 2019 integration
  • Dashboard Analytics - Real-time dispute statistics
  • Multi-language Support - Vernacular interface support

πŸ› οΈ Tech Stack

Frontend

  • React 18 + TypeScript
  • Vite (build tool)
  • Tailwind CSS (styling)
  • Zustand (state management)
  • React Router (navigation)

Backend

  • AWS CDK (infrastructure as code)
  • AWS Lambda (serverless compute)
  • AWS API Gateway (REST API)
  • AWS DynamoDB (database)
  • AWS S3 (storage)
  • Node.js 20.x

πŸ“ Project Structure

grappleai/
β”œβ”€β”€ app/                    # React frontend
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ components/    # React components
β”‚   β”‚   β”œβ”€β”€ pages/         # Page components
β”‚   β”‚   β”œβ”€β”€ services/      # API client
β”‚   β”‚   β”œβ”€β”€ store/         # State management
β”‚   β”‚   └── types/         # TypeScript types
β”‚   └── package.json
β”‚
β”œβ”€β”€ backend/               # AWS CDK backend
β”‚   β”œβ”€β”€ lib/
β”‚   β”‚   β”œβ”€β”€ cdk/          # CDK stack
β”‚   β”‚   β”œβ”€β”€ lambda/       # Lambda handler
β”‚   β”‚   β”œβ”€β”€ mcp/          # MCP server
β”‚   β”‚   └── types/        # TypeScript types
β”‚   └── package.json
β”‚
β”œβ”€β”€ SDLC to AIDLC/        # Methodology docs
β”‚   β”œβ”€β”€ AIDLC.md
β”‚   └── SDLC.md
β”‚
β”œβ”€β”€ AI-DLC/               # AI-DLC documentation
β”‚   └── AI-DLC.md
β”‚
β”œβ”€β”€ QUICKSTART.md         # 5-minute setup
β”œβ”€β”€ SETUP.md              # Complete setup guide
β”œβ”€β”€ PROJECT_OVERVIEW.md   # Architecture overview
└── README.md             # This file

πŸš€ Getting Started

Prerequisites

  • Node.js 18+
  • AWS Account
  • AWS CLI configured

Frontend Setup

cd app
npm install
npm run dev

Visit: http://localhost:5173

Backend Setup

cd backend
npm install
npm run cdk:deploy

Connect Frontend to Backend

Update app/.env.local:

VITE_API_URL=https://your-api-endpoint.com/api

πŸ“– API Endpoints

Disputes

  • POST /disputes - Create dispute
  • GET /disputes - List disputes
  • GET /disputes/{id} - Get dispute details
  • PUT /disputes/{id} - Update dispute

Evidence

  • POST /evidence/upload - Upload evidence
  • GET /evidence/{id} - Get evidence
  • POST /evidence/{id}/verify - Verify evidence

Negotiation

  • POST /negotiation/initiate - Start negotiation
  • GET /negotiation/{txId} - Get status

πŸ”§ MCP Server Tools

The backend implements these MCP tools:

  1. secureEvidence - Clutch evidence securely with confidence scoring
  2. negotiateRefund - Initiate autonomous negotiation
  3. generateDisputeNotice - Generate formal dispute notice
  4. verifyConsumerRights - Verify Consumer Protection Act rights

πŸ“Š Dashboard Features

  • Statistics - Total disputes, resolved, in-progress, success rate
  • Dispute List - View all disputes with status indicators
  • Create Dispute - File new disputes with evidence
  • Real-time Updates - Track dispute progress

πŸ” Security

  • JWT/OAuth2 ready
  • Input validation
  • IAM roles with least privilege
  • Encryption at rest and in transit
  • CORS enabled
  • API rate limiting ready

πŸ“ˆ Performance

  • Frontend: ~50KB gzipped
  • Lambda: 512MB memory, 30s timeout
  • DynamoDB: On-demand billing
  • API: <100ms response time

πŸ’° Cost Estimation

Monthly (small-medium usage):

  • Lambda: $0.20 per 1M requests
  • DynamoDB: $1.25 per 100 write units
  • S3: $0.023 per GB
  • API Gateway: $3.50 per 1M requests
  • Total: ~$50-200/month

πŸ§ͺ Development

Frontend Commands

npm run dev          # Start dev server
npm run build        # Build for production
npm run lint         # Run linter
npm run type-check   # Check types

Backend Commands

npm run build        # Compile TypeScript
npm run cdk:deploy   # Deploy to AWS
npm run cdk:destroy  # Destroy stack
npm run cdk:diff     # Preview changes

🚒 Deployment

Frontend

  • Vercel: vercel deploy
  • Netlify: netlify deploy --prod --dir=dist
  • AWS S3: aws s3 sync dist/ s3://bucket/

Backend

cd backend
npm run cdk:deploy

πŸ“š Learn More

🀝 Contributing

  1. Create feature branch
  2. Make changes
  3. Run linter and type-check
  4. Submit PR

πŸ“„ License

MIT

🎯 Vision

GrappleAI is building the trust layer for India's digital economy. By combining AI, law, and technology, we're creating an active advocate for every consumerβ€”ensuring that disputes are resolved fairly, quickly, and in the consumer's preferred language.


Ready to build? Start with QUICKSTART.md!

GrappleAI - Active Defense Layer for Consumers Building trust in India's digital economy, one dispute at a time.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured