# Amazon Product Search MCP

> Use this tool when you need to streamline Amazon product searches and receive personalized recommendations. It solves problems of information overload and irrelevant search results by allowing users to filter products by price and specific features. The tool takes in search queries and filter preferences as inputs and outputs tailored product suggestions through integration with the Amazon API and Hugging Face models.

Canonical page: https://skillsregistry.net/skills/sharavanask-shopassist-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sharavanask-shopassist-mcp

## Description

Enables AI-powered Amazon product searches and recommendations by integrating the Amazon API with Hugging Face models. It allows users to filter products by price and specific features to receive tailored shopping suggestions.

## Trust

- **Trust score (0–1):** 0.90
- **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/vvnov1mo1r)
- **Repository:** <https://github.com/sharavanask/ShopAssist-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": "sharavanask-shopassist-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sharavanask-shopassist-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sharavanask-shopassist-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