# MCP4Amazon

> Use this tool when you need to access and analyze Amazon product information, including product details, variants, and reviews, to enable large language models to make informed decisions or provide accurate responses. It solves problems related to e-commerce data analysis, product research, and customer review insights. The tool takes product queries as input and outputs relevant Amazon product data, making it ideal for use cases requiring up-to-date and accurate e-commerce information.

Canonical page: https://skillsregistry.net/skills/jeremy-33456-mcp4amazon  
JSON: https://api.skillsregistry.net/v1/skills/jeremy-33456-mcp4amazon

## Description

An MCP server that enables large language models to directly access and analyze Amazon product information, including product details, variants, and reviews.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ktts0553a6)
- **Repository:** <https://github.com/Jeremy-33456/MCP4Amazon>

## 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": "jeremy-33456-mcp4amazon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeremy-33456-mcp4amazon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeremy-33456-mcp4amazon/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