# amazon-mcp

Connects AI assistants to Amazon product, review, niche, trend, and IP data. Use it for listing research, competitor checks, and keyword monitoring.

- MCP server · `type=mcp` · Claude Code, Codex, Cursor, GitHub Copilot, Windsurf (Devin Desktop), Cline, Zed, Gemini CLI · ★ 6
- Author: pangolinfo
- License: MIT · policy=link-only · description only; the file stays with the author
- Source: https://github.com/pangolinfo/pangolinfo-mcp
- Updated: 2026-09-29
- HTML: https://affpapa.org/en/nevibecode/mcp/amazon-mcp

## What it does

\`amazon-mcp` gives an AI client access to Amazon research tools for product and niche discovery, listing analysis, review mining, keyword tracking, ad monitoring, and competitor audits. It also covers AI search, keyword trends, WIPO checks, and related US litigation lookups.

The server can run locally over stdio or through streamable HTTP. Local use requires Node.js 18+, while the released `server.mjs` already bundles its dependencies. The hosted option uses `https://mcp.pangolinfo.com/mcp`, so there is no local server file to install.

Every working request needs a Pangolinfo API key, passed as `api_key` or through the server environment. Without that key, the Amazon data calls cannot run.

## Requirements
- Remote server: `https://mcp.pangolinfo.com/mcp?api_key={api_key}`

## Install

### Claude Code (native platform)

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
claude mcp add --transport http amazon-mcp 'https://mcp.pangolinfo.com/mcp?api_key={api_key}'
```

### Codex

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
codex mcp add amazon-mcp --url 'https://mcp.pangolinfo.com/mcp?api_key={api_key}'
```

### Cursor

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Config file**
File `.cursor/mcp.json`:
```json
{
    "mcpServers": {
        "amazon-mcp": {
            "url": "https://mcp.pangolinfo.com/mcp?api_key={api_key}"
        }
    }
}
```

### GitHub Copilot

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Config file**
File `.vscode/mcp.json`:
```json
{
    "servers": {
        "amazon-mcp": {
            "type": "http",
            "url": "https://mcp.pangolinfo.com/mcp?api_key={api_key}"
        }
    }
}
```

### Gemini CLI

1. **Template address**
- The server address is a template: replace {…} or […] with your own values

2. **Platform CLI: remote server**
```bash
gemini mcp add -t http amazon-mcp 'https://mcp.pangolinfo.com/mcp?api_key={api_key}'
```

## When to use it
- find products and niches on Amazon
- mine recurring themes from customer reviews
- audit competing product listings
- monitor keywords and sponsored placements
- check patents and related US litigation

## Example prompts
- Find products in the foldable storage organizer niche on Amazon and compare their listings.
- Review competitor feedback for this keyword and group the recurring complaints.
- Use `wipo_search` with `enableLitigation=true` to check a patent and related US cases.

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