Amazon Shopping

v1.0.0Business Applicationsstable

Enables users to search for products, retrieve details, and manage their shopping cart on Amazon through the MCP framework. It also supports viewing order history and provides a demonstration of ordering capabilities within AI interfaces.

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What is Amazon Shopping?

Amazon Shopping is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables users to search for products, retrieve details, and manage their shopping cart on amazon through the mcp framework. it also supports viewing order history and provides a demonstration of order...

Enables users to search for products, retrieve details, and manage their shopping cart on Amazon through the MCP framework. It also supports viewing order history and provides a demonstration of ordering capabilities within AI interfaces.

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables users to search for products, retrieve details, and

Use Cases

Search products
Manage shopping cart
View order history
rigwild

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedMay 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx amazon-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Amazon Shopping

The Amazon MCP Server integrates Amazon shopping into MCP-compatible AI clients like Claude, enabling natural language product search, detailed product lookups, shopping cart management (add items, clear cart), order history retrieval, and a demonstration ordering flow. It uses web automation to interact with Amazon's storefront, so no Amazon API key is required — the server operates with your existing Amazon account session. Users can have conversational shopping experiences where Claude searches for products, compares options using AI recommendations, and manages the cart entirely through chat.

Prerequisites

  • Node.js 18 or higher and npm
  • An Amazon account (the server interacts with Amazon via browser automation)
  • Claude Desktop or another MCP-compatible client
  • Git to clone the repository
1

Clone the repository

Clone the mcp-server-amazon repository to your local machine.

git clone https://github.com/rigwild/mcp-server-amazon.git
cd mcp-server-amazon
2

Install dependencies

Install the required npm packages in development mode.

npm install -D
3

Build the project

Compile the TypeScript source to the build output directory.

npm run build
4

Note the build output path

The compiled server entry point will be at build/index.js within the cloned directory. Note the absolute path for the next step.

# Example path:
# /Users/yourname/dev/mcp-server-amazon/build/index.js
5

Configure Claude Desktop

Add the Amazon MCP server to your Claude Desktop configuration file, using the absolute path to the built index.js.

6

Restart Claude Desktop

Fully quit and reopen Claude Desktop to load the Amazon MCP server. It will appear in the connected servers list.

Amazon Shopping Examples

Client configuration

Claude Desktop config entry for the Amazon MCP server. Replace the path with the actual absolute path where you cloned and built the repository.

{
  "mcpServers": {
    "amazon": {
      "command": "node",
      "args": ["/Users/admin/dev/mcp-server-amazon/build/index.js"]
    }
  }
}

Prompts to try

Example prompts for searching, comparing, and managing Amazon shopping through Claude.

- "Search Amazon for wireless noise-cancelling headphones under $150 and show me the top 3 results"
- "Get the full details and reviews for the product at this Amazon URL: https://www.amazon.com/dp/B08..."
- "Add the first result to my Amazon cart"
- "Show me my recent Amazon orders from the last 30 days"
- "Compare these two headphones on Amazon and recommend which one has better value for commuting"

Troubleshooting Amazon Shopping

npm run build fails with TypeScript errors

Ensure you are using Node.js 18 or higher (node --version). Run npm install -D first to install devDependencies including the TypeScript compiler, then retry npm run build.

Server connects but product search returns no results or errors

The server uses web automation to interact with Amazon. If Amazon prompts for a CAPTCHA or login, the automation may fail. Check ~/Library/Logs/Claude/mcp-server-amazon.log on macOS for detailed error output.

Claude Desktop does not show 'amazon' in connected servers after restart

Verify the path in claude_desktop_config.json points to the compiled build/index.js file (not the TypeScript source). Use the full absolute path. Fully quit Claude Desktop from the system tray before restarting.

Frequently Asked Questions about Amazon Shopping

What is Amazon Shopping?

Amazon Shopping is a Model Context Protocol (MCP) server that enables users to search for products, retrieve details, and manage their shopping cart on amazon through the mcp framework. it also supports viewing order history and provides a demonstration of ordering capabilities within ai interfaces. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Amazon Shopping?

Follow the installation instructions on the Amazon Shopping GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Amazon Shopping?

Amazon Shopping works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Amazon Shopping free to use?

Yes, Amazon Shopping is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "amazon-mcp-server": { "command": "npx", "args": ["-y", "amazon-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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