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Geenie MCP Proxy Server

Acts as an intermediary between Claude Desktop and Amazon's MCP server to handle authentication, token management, and subscription-based tool filtering. It provides a secure layer for managing access to Amazon tools while facilitating seamless communication between the client and the model server.

Updated
Feb 13, 2026

Geenie MCP Proxy Server

The Geenie MCP proxy server sits between Claude Desktop and Amazon's MCP server, handling authentication, token management, and subscription-based tool filtering.

Quick Start

1. Install Dependencies

npm install

2. Set Up Environment

Copy .env.example to .env and fill in your credentials:

cp .env.example .env

For local development, the mock Amazon MCP server endpoints are pre-configured.

3. Run the Servers

You'll need two terminal windows:

Terminal 1 - Mock Amazon MCP Server:

npm run dev:mock

Terminal 2 - Geenie Proxy Server:

npm run dev

The mock server runs on port 9000, and the proxy runs on port 3000.

4. Test the Health Check

curl http://localhost:3000/health

5. Test the MCP Proxy

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{"method": "tools/list", "params": {}}'

You should see a list of tools returned from the mock Amazon server.

Project Structure

geenie-proxy/
├── src/
│   ├── index.ts              # Server entry point
│   ├── config/
│   │   └── env.ts            # Environment configuration
│   ├── routes/
│   │   ├── health.ts         # Health check endpoints
│   │   └── mcp.ts            # MCP proxy route
│   └── utils/
│       └── logger.ts         # Pino logger setup
├── tests/
│   └── mocks/
│       └── amazon-server.ts  # Mock Amazon MCP server
└── package.json

Development Phases

✅ Phase 1: Basic Proxy (Current)

  • Project setup with TypeScript
  • Fastify server with CORS
  • Health check endpoint
  • Basic MCP proxy route
  • Mock Amazon MCP server

⏳ Phase 2: Authentication (Next)

  • API key validation middleware
  • Subscription status checking
  • Supabase integration
  • Caching layer

⏳ Phase 3: Token Management

  • Amazon token refresh logic
  • Multi-account handling
  • Token expiry checks

⏳ Phase 4: Tool Filtering

  • Subscription tier restrictions
  • Global tool blacklist
  • Disabled tools injection

⏳ Phase 5: Production Ready

  • Token encryption
  • Rate limiting
  • Error handling improvements
  • Railway deployment

Available Scripts

  • npm run dev - Start proxy server with hot reload
  • npm run dev:mock - Start mock Amazon MCP server
  • npm run build - Compile TypeScript to JavaScript
  • npm start - Run production build
  • npm test - Run tests (coming soon)

Environment Variables

See .env.example for all available configuration options.

Testing

Currently using a mock Amazon MCP server that simulates:

  • tools/list - Returns available MCP tools
  • tools/call - Simulates tool execution with mock data

Next Steps

  1. Add API key validation (Phase 2)
  2. Integrate with Supabase for user/subscription data
  3. Implement Amazon token refresh logic
  4. Add subscription-based tool filtering
  5. Deploy to Railway

License

MIT

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