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Amazon MCP Server - MCP Server sécurisé par ALMC Security 2025

Amazon MCP Server

Voir sur GitHub

Amazon MCP Server

This is a Model Context Protocol (MCP) server for scraping Amazon products and searching for products on Amazon.

Setup

  1. Clone the repository:

    git clone https://github.com/r123singh/amazon-mcp-server.git
    
  2. Navigate to the project directory:

    cd amazon-mcp-server
    
  3. Create a virtual environment:

    python -m venv venv
    
  4. Activate the virtual environment:

    • On Linux/macOS:
      source venv/bin/activate
      
    • On Windows:
      venv\Scripts\activate
      
  5. Install dependencies:

    pip install -r requirements.txt
    
  6. No API keys or tokens are required.

  7. Configure MCP JSON: Create a mcp.json file with:

    {
      "mcpServers": {
        "amazon": {
          "command": "{PATH_TO_DIRECTORY}\\amazon-mcp-server\\venv\\Scripts\\python.exe",
          "args": [
            "{PATH_TO_DIRECTORY}\\amazon-mcp-server\\server.py"
          ]
        }
      }
    }
    

    Replace {PATH_TO_DIRECTORY} with the absolute path to this directory (use pwd or cd to get the path).

Available Tools

The server provides the following tools for interacting with Amazon:

  • Scrape a product:
    scrape_product(product_url)
    Scrape product details (name, price, image, rating, reviews, availability, description) from a given Amazon product URL.

  • Search for products:
    search_products(query, max_results)
    Search for products on Amazon by keyword and return a list of results.

Usage

Once configured, the MCP server can be started using the standard MCP client configuration. The server provides a natural language interface to interact with Amazon through the available tools.

Example usage:

  • "Get details for this Amazon product: [product URL]"
  • "Search Amazon for 'wireless headphones', show top 3 results"

Notes

  • No API key or authentication is required.
  • The server scrapes publicly available Amazon product and search pages.
  • For best results, use valid Amazon product URLs and clear search queries.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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