Amazon Shopping with Claude
An MCP server for searching and buying products on Amazon.
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
- Claude Desktop App - Your AI shopping assistant
- Fewsats Account - Required for secure payments (takes 2 minutes to set up)
Quick Setup Guide
Step 1: Install Claude Desktop App
- Download Claude from claude.ai/download
- Install and open the app
Step 2: Set Up Fewsats
- Go to fewsats.com and create an account
- Add a payment method (credit card, Apple Pay, or Google Pay)
- Get your API key from app.fewsats.com/api-keys
Step 3: Configure Claude
-
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 openclaude_desktop_config.json
- Mac: Open Terminal and paste:
-
Add this configuration (replace YOUR_FEWSATS_API_KEY with your actual key):
{
"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:
{
"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, providing secure payment infrastructure for AI assistants. All purchases are protected by Fewsats' buyer protection policy.
Amazon 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?
Write to us on X or at fewsats.com for assistance with payments or general questions.
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Tavily Search
A comprehensive search agent powered by the Tavily API for in-depth and reliable search results across various topics.
招投标大数据服务
Query comprehensive enterprise information from e-commerce platforms, including store details, sales data, and product statistics.
SerpApi MCP
SerpApi MCP Server for Google and other search engine results
MCP Advisor
A discovery and recommendation service for exploring MCP servers using natural language queries.
CUFinder
Access 1B+ verified contacts and 85M+ companies for B2B lead generation, person lookup, company enrichment, and local business search directly through AI assistants.
Google News
Google News search capabilities with automatic topic categorization and multi-language support via SerpAPI integration.
MCP Naver News
Search for news articles using the Naver News API. Requires Naver News API credentials.
Metro MCP
A MCP server of washington DC's Metro
USGS Quakes
Access earthquake data from the USGS Quakes API using natural language queries.
Unified Docs Hub
Creates a massive, searchable knowledge base from numerous curated and auto-discovered GitHub projects.