# MCP Commerce Server

> MCP Commerce Server — vikramjt-mcp-demo. Use this tool when you need to query e-commerce data using natural language, enabling effortless retrieval of product, user, and order information from a PostgreSQL database. It solves problems related to complex data querying, providing a user-friendly interface for non-technical users. The tool takes in natural-language queries as input and returns relevant data as output, making it ideal for use cases where simplicity and ease of use are crucial.

Canonical page: https://skillsregistry.net/skills/vikramjt-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/vikramjt-mcp-demo

## Description

Enables natural-language querying of e-commerce data (products, users, orders) from a PostgreSQL database, using a Hugging Face model for safe intent extraction and parameterized SQL execution.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hhlwx91sou)
- **Repository:** <https://github.com/vikramjt/mcp_demo>

## 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": "vikramjt-mcp-demo"
    }
  }
}
```

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