# Amazon MCP Server

> Use this tool when you need to integrate Amazon shopping capabilities into AI interfaces, enabling users to search for products, manage their cart, and view order history. It solves problems related to e-commerce functionality and user experience within AI frameworks. The tool accepts search queries and cart management inputs, and outputs product details, cart updates, and order history.

Canonical page: https://skillsregistry.net/skills/rigwild-mcp-server-amazon  
JSON: https://api.skillsregistry.net/v1/skills/rigwild-mcp-server-amazon

## Description

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.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/suibls3j5n)
- **Repository:** <https://github.com/rigwild/mcp-server-amazon>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rigwild-mcp-server-amazon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rigwild-mcp-server-amazon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rigwild-mcp-server-amazon/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt