# com.webotee/amazon-product-research-mcp

> Use this tool when you need to gain insights into Amazon product performance, including brand, seller, and niche analysis, to inform e-commerce strategies and optimize product listings. It provides intelligence on buy-box ownership, sales rankings, and customer reviews, helping you solve problems like market research, competitor analysis, and product optimization. With inputs like product keywords or ASINs, it outputs actionable data and recommendations to improve your Amazon sales and marketing efforts.

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

## Description

Amazon brand, seller, niche & buy-box intelligence inside your own Claude or ChatGPT.

## Trust

- **Trust score (0–1):** 0.96
- **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:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.webotee%2Famazon-product-research-mcp)
- **Repository:** <https://github.com/ncosic/webotee-mcp>

## Use it

MCP endpoint published by the skill: `https://app.webotee.com/mcp`

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": "com-webotee-amazon-product-research-mcp"
    }
  }
}
```

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