# Amazon Product Research MCP Server

> Amazon Product Research MCP Server — ludodelot-amazon-product-research-mcp. Use this tool when you need to analyze Amazon product data, solve problems related to e-commerce research, and optimize product listings. It provides AI assistants with the ability to search and inspect product information, taking in keywords, categories, or product IDs as inputs and outputting relevant data such as prices, reviews, and sales rankings. This tool is ideal for use cases like market research, competitor analysis, and product optimization, helping AI agents make informed decisions in e-commerce contexts.

Canonical page: https://skillsregistry.net/skills/ludodelot-amazon-product-research-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ludodelot-amazon-product-research-mcp

## Description

MCP server that gives an AI assistant tools to search and inspect Amazon product data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfyvi9qglf)
- **Repository:** <https://github.com/ludodelot/amazon-product-research-mcp>

## 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": "ludodelot-amazon-product-research-mcp"
    }
  }
}
```

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

---
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