amazon-mcp-server
Health Pass
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 16 GitHub stars
Code Warn
- process.env — Environment variable access in src/amazon.ts
- process.env — Environment variable access in src/browser.ts
- process.env — Environment variable access in src/server.ts
- process.env — Environment variable access in src/wholefoods.ts
Permissions Pass
- Permissions — No dangerous permissions requested
This is a Model Context Protocol (MCP) server that allows AI assistants to interact with a user's personal Amazon shopping cart via browser automation. It enables AI clients to search for products, view cart contents, and add items automatically.
Security Assessment
Risk Rating: Medium. This tool accesses highly sensitive data, though it does so appropriately by design. It manages your local browser cookies and active Amazon login sessions to automate shopping tasks. The code relies on environment variables (`process.env`) to securely handle configurations, which is a standard practice, and no hardcoded secrets were detected.
However, there are significant architectural risks to consider. The server setup requires exposing your local machine to the internet via an ngrok tunnel and authenticating via a bearer token. If this tunnel or your token is compromised, an attacker could potentially gain access to your active Amazon session, view your saved data, or make purchases. Additionally, because it uses unofficial browser automation, utilizing this tool carries a tangible risk of Amazon flagging or restricting your account.
Quality Assessment
The project is in good standing and appears actively maintained, with its most recent push occurring today. It is properly licensed under the permissive and standard MIT license. It has a small but growing community, currently backed by 16 GitHub stars. The repository features a thorough README that is notably transparent about the tool's limitations and legal risks.
Verdict
Use with caution: the underlying code is safe and handles configurations properly, but giving an AI automated control over your Amazon account and exposing it via a public tunnel carries significant functional and privacy risks.
MCP server for your Amazon cart. Made for Poke.com but works for everyone.
Amazon Cart MCP Server
Local MCP (Model Context Protocol) server that enables AI assistants to interact with your personal Amazon cart through browser automation. Works with Claude Desktop, Poke, and any MCP-compatible client.
⚠️ Important Disclaimer
This tool uses browser automation to interact with Amazon.com.
- Users are solely responsible for ensuring their use complies with Amazon's Terms of Service
- This project is for personal, educational use only - not for commercial automation or reselling
- Use at your own risk - the authors assume no liability for any violations of Amazon's policies or consequences thereof
- Not affiliated with Amazon - this is an independent, unofficial tool
- Amazon may change their website or policies at any time, potentially breaking functionality
- Excessive automation may result in account restrictions or bans
By using this software, you acknowledge and accept these risks.
Features
- 🔍 Search Amazon - Find products by search query
- 🛒 Add to Cart - Add items to your Amazon cart automatically
- 👀 View Cart - Check current cart contents and subtotal
- 🔐 Login Persistence - Session saved locally for seamless use
- 🌐 Secure Access - Bearer token authentication via ngrok tunnel
Quick Start
Prerequisites
- Node.js v20 or higher
- npm or yarn
- ngrok account (free tier works)
Installation
Clone the repository:
git clone https://github.com/meimakes/amazon-mcp-server.git cd amazon-mcp-serverInstall dependencies:
npm installConfigure environment:
cp .env .env.local # Optional: keep your settings separateEdit
.envand set:AUTH_TOKEN- Generate a secure random token (required)HEADLESS=false- For first-time loginAMAZON_DOMAIN=amazon.com- Or your local Amazon domain
Build the project:
npm run buildStart the server:
npm startFirst-time login:
- A Chrome browser window will open
- Log into your Amazon account manually
- Session will be saved in
./user-data/ - After logging in once, you can:
- Stop the server (Ctrl+C)
- Set
HEADLESS=truein.env - Restart with headless mode
Expose via ngrok (in a separate terminal):
npm run tunnel # Note the HTTPS URL (e.g., https://abc123.ngrok.io)
Connecting to Poke
Copy your ngrok URL from the terminal
In Poke, add a custom MCP integration:
- URL:
https://your-ngrok-url.ngrok.io/sse - API Key: Your
AUTH_TOKENfrom.env - Type: MCP Server
- URL:
Important: Always use the
/sseendpoint!Test the connection by asking Poke:
- "What tools do you have?"
- "Search Amazon for wireless mouse"
Connecting to Claude Desktop
- Build the project:
npm run build - Open Claude Desktop → Settings → Developer → Edit Config
- Add to
mcpServers:
{
"mcpServers": {
"amazon-cart": {
"command": "node",
"args": ["/absolute/path/to/amazon-mcp-server/dist/server.js"],
"env": {
"AUTH_TOKEN": "your-token-here",
"HEADLESS": "true",
"AMAZON_DOMAIN": "amazon.com"
}
}
}
}
- Restart Claude Desktop
- You should see the Amazon tools available in the tools menu (🔧)
First-time setup: Run the server once with
HEADLESS=falseto log into Amazon manually. After that, setHEADLESS=truefor Claude Desktop.
Available Tools
| Tool | Description | Parameters |
|---|---|---|
search_amazon |
Search for products on Amazon | query (required) |
add_to_cart |
Add a product to cart | query or asin, quantity (optional) |
view_cart |
View current cart contents | None |
check_login |
Verify Amazon login status | None |
Architecture
┌─────────────────┐
│ Poke.com │ (Remote AI Assistant)
│ (Cloud) │
└────────┬────────┘
│ HTTPS
↓
┌─────────────────┐
│ ngrok │ (Secure Tunnel)
│ Public HTTPS │
└────────┬────────┘
│ Local
↓
┌─────────────────┐
│ MCP Server │ (Port 3000)
│ SSE + HTTP │
└────────┬────────┘
│
↓
┌─────────────────┐
│ Puppeteer │ (Browser Automation)
│ + Chrome │
│ (Persistent │
│ Session) │
└─────────────────┘
Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
PORT |
3000 |
Server port |
AUTH_TOKEN |
required | Bearer token for authentication |
AMAZON_DOMAIN |
amazon.com |
Amazon domain (e.g., amazon.co.uk) |
HEADLESS |
false |
Run browser in headless mode |
USER_DATA_DIR |
./user-data |
Chrome user data directory |
Example .env
PORT=3000
AUTH_TOKEN=a1b2c3d4-e5f6-4789-a012-3b4c5d6e7f8a
AMAZON_DOMAIN=amazon.com
HEADLESS=false
USER_DATA_DIR=./user-data
Security
⚠️ Important Security Considerations
AUTH_TOKEN Protection
- Never commit
.envto Git (already in.gitignore) - Use a cryptographically secure random token
- Generate with:
openssl rand -hex 32
- Never commit
ngrok Security
- Free tier URLs are public but unguessable
- Consider ngrok's authentication features for extra security
- Upgrade to ngrok paid plan for reserved domains and IP restrictions
Session Data
- Login sessions stored in
./user-data/ - Contains cookies and authentication tokens
- Never share or commit this directory
- Already excluded via
.gitignore
- Login sessions stored in
Network Security
- Server only accepts authenticated requests
- All traffic through ngrok is HTTPS encrypted
- Local server binds to localhost only
Browser Automation
- Puppeteer runs with sandbox disabled (required for some systems)
- Session isolation via Chrome user data directory
- No data sent to third parties
Best Practices
- ✅ Use strong, unique AUTH_TOKEN
- ✅ Never share your ngrok URL publicly
- ✅ Regularly rotate AUTH_TOKEN
- ✅ Monitor server logs for suspicious activity
- ✅ Keep dependencies updated (
npm audit) - ✅ Use HEADLESS=true in production
- ⚠️ This is for personal use only - not production-ready for multi-user scenarios
Troubleshooting
Tools Not Showing in Poke
- Restart the server
- Delete and re-add the MCP connection in Poke
- Check server logs for
tools/listrequest - Verify ngrok tunnel is active
Items Not Added to Cart
- Verify you're logged into Amazon:
- Check the browser window (if visible)
- Or ask Poke to run
check_login
- If not logged in:
- Set
HEADLESS=false - Restart server
- Log in manually in the browser window
- Set
Connection Keeps Dropping
- Normal behavior - Poke reconnects as needed
- If persistent, check ngrok connection:
curl https://your-url.ngrok.io/health
Computer Sleep Mode
- Server and ngrok pause when computer sleeps
- Poke will reconnect automatically on wake
- To prevent sleep: Run
caffeinatein a separate terminal (macOS)
Development
Project Structure
amazon-mcp/
├── src/
│ ├── server.ts # MCP server + SSE implementation
│ ├── amazon.ts # Amazon automation logic
│ ├── browser.ts # Puppeteer browser management
│ └── types.ts # TypeScript interfaces
├── dist/ # Compiled JavaScript (gitignored)
├── user-data/ # Chrome session data (gitignored)
├── .env # Environment config (gitignored)
└── package.json
Running in Development
npm run dev # Uses ts-node, no build required
Building
npm run build # Compiles TypeScript to dist/
Testing
Health Check
curl http://localhost:3000/health
Expected response:
{"status":"ok","server":"amazon-mcp-server"}
Test SSE Connection
curl -H "Authorization: Bearer YOUR_TOKEN" \
http://localhost:3000/sse
Should maintain an open connection with heartbeats.
Compliance Notes
This project is designed for personal, single-user use only. It is not intended for:
- ❌ Multi-tenant deployments
- ❌ Production SaaS applications
- ❌ SOC 2 Type II compliance scenarios
- ❌ HIPAA or other regulated data handling
- ❌ Commercial automation at scale
If you need enterprise-grade compliance, consider:
- Implementing proper authentication (OAuth 2.0)
- Adding audit logging
- Using encrypted storage for sessions
- Deploying to compliant infrastructure (AWS, GCP with compliance certifications)
- Implementing rate limiting and abuse prevention
Contributing
Contributions welcome! Please:
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
License
MIT License - see LICENSE file for details.
Support
- 🐛 Issues: GitHub Issues
- 📧 Contact: via GitHub
Author
Created by @meimakes
Note: Keep your computer awake while running the server. The ngrok tunnel and SSE connections are sensitive to network interruptions.
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