# Ferreteria Angular

> Use this tool when you need to query and manage hardware store data, such as product inventory, orders, and sales history, through a .NET backend API. It provides functionality for retrieving specific data points, like product details and order information, and supports integration with AI systems through the MCP server layer. Ideal for use cases requiring data-driven insights and automation in hardware store management systems.

Canonical page: https://skillsregistry.net/skills/keiner-2006-ferreteria-angular  
JSON: https://api.skillsregistry.net/v1/skills/keiner-2006-ferreteria-angular

## Description

Provides tools for querying hardware store (ferreteria) management data through a .NET backend API. Supports retrieving product inventory, looking up individual products by ID, listing orders, fetching order details, and viewing sales history. Built as part of a full-stack Angular/.NET hardware store management system with the MCP server acting as the AI integration layer.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/keiner-2006-ferreteria-angular)
- **Repository:** <https://github.com/keiner-2006/proyectoferreteria-angular/tree/HEAD/mcp-server>

## 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": "keiner-2006-ferreteria-angular"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/keiner-2006-ferreteria-angular` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/keiner-2006-ferreteria-angular/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
