Amazon Product Search MCP Server
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An MCP (Model Context Protocol) server that provides AI-powered Amazon product search and recommendations using FastMCP.
Features
- 🔍 Smart product search with Amazon API
- 🤖 AI-powered product recommendations using Hugging Face
- 💰 Price range filtering
- 📋 Feature-based matching
- 🎯 Tailored recommendations for Small/Medium Enterprises
Installation
- Clone this repository and navigate to the project directory
- Install dependencies:
# Using uv (recommended) uv sync # Or using pip pip install -r requirements.txt
Server Setup
Running the MCP Server
# Activate your virtual environment
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Run the server
python main.py
The server exposes one main tool:
getdata: Search Amazon products with AI recommendations
Client Options
We provide multiple client implementations to interact with your MCP server:
1. Python Interactive Client (client.py)
A full-featured Python client with examples and interactive mode.
python client.py
Features:
- Pre-built examples (laptops, smartphones)
- Interactive search mode
- Real-time communication with MCP server
2. Command Line Interface (cli_client.py)
Quick command-line searches for automation and scripting.
# Basic search
python cli_client.py "laptop"
# With features and price range
python cli_client.py "laptop" --features "8GB RAM, SSD storage" --min-price 30000 --max-price 80000
# Smartphone search
python cli_client.py "smartphone" --features "good camera, 5G" --min-price 15000 --max-price 50000
Arguments:
product: Product to search for (required)--features,-f: Specific features to look for--min-price,-min: Minimum price in rupees--max-price,-max: Maximum price in rupees
3. Web Interface (web_client.py)
A beautiful web interface with REST API backend.
# Install additional dependencies
pip install fastapi uvicorn
# Run the web server
python web_client.py
Then open http://localhost:8000 in your browser for a user-friendly interface.
API Endpoints:
GET /: Web interfacePOST /search: REST API for product searchGET /health: Health check
4. MCP CLI Integration
You can also use the MCP CLI to interact with your server:
# Install MCP CLI if not already installed
pip install mcp
# Connect to your server
mcp connect stdio -- python main.py
Usage Examples
Example 1: Laptop Search
{
"product": "laptop",
"specific_features": "8GB RAM, SSD storage, good for programming",
"min_price": 30000,
"max_price": 80000
}
Example 2: Smartphone Search
{
"product": "smartphone",
"specific_features": "good camera, long battery life, 5G support",
"min_price": 15000,
"max_price": 50000
}
Example 3: Budget Headphones
{
"product": "wireless headphones",
"specific_features": "noise cancellation, comfortable",
"min_price": 1000,
"max_price": 5000
}
Configuration
API Keys Required
Make sure you have:
- Hugging Face API Token: Update
HF_API_TOKENinserver/buy.py - RapidAPI Key: Update the
x-rapidapi-keyinserver/buy.py
Customization
You can customize the AI recommendation prompt in the decision_agent function in server/buy.py.
Integration with Claude Desktop
To use this MCP server with Claude Desktop, add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"amazon-search": {
"command": "python",
"args": ["path/to/your/main.py"],
"env": {}
}
}
}
Troubleshooting
Common Issues
- Import errors: Make sure you're in the correct virtual environment
- API failures: Check your API keys and internet connection
- Connection issues: Ensure the MCP server is running before starting clients
Error Messages
- "No result": Usually indicates API issues or no products found
- "Connection refused": MCP server is not running
- "Tool not found": Server initialization issue
Development
Adding New Features
- Add new tools in
server/buy.pyusing the@mcp.tool()decorator - Update client code to use new tools
- Test with the interactive client first
Testing
# Test the server directly
python -c "from server.buy import mcp; print('Server loads successfully')"
# Test with the interactive client
python client.py
Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ MCP Client │◄──►│ MCP Server │◄──►│ External APIs │
│ (Your Choice) │ │ (FastMCP) │ │ (Amazon/HF AI) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ • client.py │ │ • Tool: getdata │ │ • Amazon Search │
│ • cli_client │ │ • AI Agent │ │ • HuggingFace │
│ • web_client │ │ • FastMCP │ │ • Recommendations│
│ • Claude │ │ │ │ │
└─────────────────┘ └─────────────────┘ └─────────────────┘
License
This project is open source. Please ensure you comply with the terms of service of the APIs used (Amazon, RapidAPI, Hugging Face).