Amazon Product Advertising API
Integrate with the Amazon Product Advertising API to search for products and access product information.
Amazon PA-API MCP Service
A Model Context Protocol (MCP) service for Amazon Product Advertising API integration. This project uses the Python SDK officially provided at Product Advertising API 5.0.
Integration in Claude & Cursor
For configuring host, region and markeplace, consult the Locale Reference for Product Advertising API documentation.
{
"mcpServers": {
"amazon-paapi": {
"command": "uvx",
"args": [
"mcp-amazon-paapi"
],
"env": {
"PAAPI_ACCESS_KEY": "your-access-key",
"PAAPI_SECRET_KEY": "your-secret-key",
"PAAPI_PARTNER_TAG": "your-partner-tag",
"PAAPI_HOST": "webservices.amazon.de", // select EU or US servers and region
"PAAPI_REGION": "eu-west-1",
"PAAPI_MARKETPLACE": "www.amazon.de" // set your preferred marketplace
}
}
}
}
Project Structure
mcp-amazon-paapi/
├── src/
│ └── mcp_amazon_paapi/ # Main package
│ ├── __init__.py # Package initialization
│ ├── service.py # Amazon PA-API service class with dependency injection
│ ├── server.py # FastMCP server implementation
│ └── _vendor/ # Vendored dependencies
│ └── paapi5_python_sdk/ # Amazon PA-API Python SDK
├── test/ # Test suite
│ ├── __init__.py # Test package initialization
│ └── test_service.py # Tests for service module
├── pyproject.toml # Project configuration and dependencies
├── uv.lock # Dependency lock file
├── README.md # Project documentation
Local Setup
Initial Setup
# Sync dependencies from uv.lock (creates virtual environment automatically)
uv sync
# Alternatively, activate the virtual environment manually
source .venv/bin/activate # Linux/Mac
# or
.venv\Scripts\activate # Windows
Environment Variables
export PAAPI_ACCESS_KEY="your-access-key"
export PAAPI_SECRET_KEY="your-secret-key"
export PAAPI_PARTNER_TAG="your-partner-tag"
export PAAPI_HOST="webservices.amazon.de" # optional defaults to webservices.amazon.de
export PAAPI_REGION="eu-west-1" # optional defaults to eu-west-1
export PAAPI_MARKETPLACE="www.amazon.de" # optional, defaults to www.amazon.de
Testing
Run the simple test suite:
# Run all tests with uv (recommended)
uv run python -m pytest test/test_service.py -v
# Or if you have activated the virtual environment
pytest test/test_service.py -v
The test suite includes:
- Service initialization tests
- Configuration management tests
- Search functionality tests with mocking
- Error handling tests
Usage
from service import AmazonPAAPIService
# Create service (uses environment variables)
service = AmazonPAAPIService()
# Search for items
items = service.search_items("echo dot", "Electronics", 5)
Running the MCP Server
# Run directly with uv (recommended)
uv run python server.py
# Or if you have activated the virtual environment
python server.py
Server Terkait
Expert Registry MCP Server
An MCP server for expert discovery, registration, and context injection, utilizing vector and graph databases.
Haloscan MCP Server
An MCP server for interacting with the Haloscan SEO API.
Caltrain MCP Server
Provides real-time Caltrain schedule information using GTFS data.
Brave-Gemini Research MCP Server
Perform web searches with the Brave Search API and analyze research papers using Google's Gemini model.
Gemini Search
Generates responses using the Gemini API and Google Search for up-to-date information.
Amadeus MCP Server
Search for flight offers using the Amadeus Flight Offers Search API.
News Fact-Checker
Automated fact-checking of news headlines using web search and Google Gemini AI.
Tavily Search
A search engine powered by the Tavily AI Search API.
NCBI Literature Search
Search NCBI databases, including PubMed, for scientific literature. Tailored for researchers in life sciences, evolutionary biology, and computational biology.
Drawing Guides
Access step-by-step drawing tutorials and guides from easydrawingguides.com for artists of all skill levels.