# Store (E-Commerce)

> Use this tool when you need to manage customer and order data in e-commerce applications through a standardized REST API interface. It solves problems such as retrieving customer information, looking up orders, and searching customers by name, enabling seamless integration with AI assistants. Ideal for use cases where accessing customer and order records is crucial, such as order tracking, customer service, and personalized recommendations.

Canonical page: https://skillsregistry.net/skills/n0119566-store  
JSON: https://api.skillsregistry.net/v1/skills/n0119566-store

## Description

Store MCP server provides a standardized interface for managing customer and order data through a REST API. Built with TypeScript and the MCP protocol, it exposes tools for retrieving customer information, looking up orders by customer ID, and searching customers by name. The implementation is designed for e-commerce applications that need to access customer and order records through AI assistants.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/n0119566-store)
- **Repository:** <https://github.com/n0119566/mcp-store>

## 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": "n0119566-store"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/n0119566-store` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/n0119566-store/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