https://github.com/fewsats/amazon-mcp
Amazon MCP server to search & buy products using the L402
https://github.com/fewsats/amazon-mcp
ai-agents aiagents e-commerce llm mcp mcp-server shopping
Last synced: 21 days ago
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Amazon MCP server to search & buy products using the L402
- Host: GitHub
- URL: https://github.com/fewsats/amazon-mcp
- Owner: Fewsats
- Created: 2025-04-01T08:18:58.000Z (22 days ago)
- Default Branch: main
- Last Pushed: 2025-04-01T13:32:35.000Z (22 days ago)
- Last Synced: 2025-04-01T14:34:35.595Z (22 days ago)
- Topics: ai-agents, aiagents, e-commerce, llm, mcp, mcp-server, shopping
- Language: Python
- Homepage: https://pypi.org/project/amazon-mcp
- Size: 24.4 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Amazon Shopping with Claude
This integration allows you to search and buy Amazon products directly through your AI assistant. Shop Amazon's vast catalog by simply chatting with Claude!
## What You Need
1. [Claude Desktop App](https://claude.ai/download) - Your AI shopping assistant
2. [Fewsats Account](https://fewsats.com) - Required for secure payments (takes 2 minutes to set up)
## Quick Setup Guide
### Step 1: Install Claude Desktop App
1. Download Claude from [claude.ai/download](https://claude.ai/download)
2. Install and open the app
### Step 2: Set Up Fewsats
1. Go to [fewsats.com](https://fewsats.com) and create an account
2. Add a payment method (credit card, Apple Pay, or Google Pay)
3. Get your API key from [app.fewsats.com/api-keys](https://app.fewsats.com/api-keys)
### Step 3: Configure Claude
1. Find your Claude config file:
- Mac: Open Terminal and paste: `open ~/Library/Application\ Support/Claude/claude_desktop_config.json`
- Windows: Press Win+R, type `%APPDATA%/Claude`, and open `claude_desktop_config.json`
2. Add this configuration (replace YOUR_FEWSATS_API_KEY with your actual key):
```json
{
"mcpServers": {
"Amazon": {
"command": "uvx",
"args": [
"amazon-mcp"
]
},
"Fewsats": {
"command": "env",
"args": [
"FEWSATS_API_KEY=YOUR_FEWSATS_API_KEY",
"uvx",
"fewsats-mcp"
]
}
}
}
```
### Step 4: Install UV
UV is a small tool needed to run the Amazon integration:
- Mac: Open Terminal and run:
```
curl -LsSf https://astral.sh/uv/install.sh | sh
```
- Windows: Open PowerShell as Administrator and run:
```
irm https://astral.sh/uv/install.ps1 | iex
```
## Start Shopping!
That's it! Now you can chat with Claude about Amazon products. Try these:
- "Find me a coffee maker under $50"
- "I need running shoes, what do you recommend?"
- "Can you search for kids' books about dinosaurs?"
Claude will help you search, compare products, and make purchases securely through Fewsats.
## Using with Cursor (For Developers)
If you're a developer using Cursor, the setup is similar. In Cursor's settings, add:
```json
{
"mcpServers": {
"Amazon": {
"command": "uvx",
"args": [
"amazon-mcp"
]
},
"Fewsats": {
"command": "env",
"args": [
"FEWSATS_API_KEY=YOUR_FEWSATS_API_KEY",
"uvx",
"fewsats-mcp"
]
}
}
}
```
## Security First: Policies
With Fewsats, you decide how purchases are handled:
- **Custom Budget Limits**: Set monthly or per-transaction spending caps
- **Approval Thresholds**: Auto-approve small purchases, review larger ones
- **Manual Review**: Option to approve every purchase before it's processed
- **Purchase History**: Track and review all transactions in one place
## About
This integration is powered by [Fewsats](https://fewsats.com), providing secure payment infrastructure for AI assistants. All purchases are protected by Fewsats' buyer protection policy.
[Amazon](https://www.amazon.com/) is the world's largest e-commerce platform, offering millions of products across diverse categories. With features like Prime shipping, competitive pricing, and extensive product reviews, Amazon provides a comprehensive shopping experience for customers worldwide.
## Need Help?
Visit [fewsats.com/support](https://fewsats.com/support) for assistance with payments or general questions.