# MCP Product Management System

> Use this tool when you need to manage and query product inventory across multiple AI platforms. The MCP Product Management System solves problems of data siloing and complex querying by providing a comprehensive server with natural language query capabilities. It takes in product data and natural language inputs, outputting relevant product information through a PostgreSQL database backend interface.

Canonical page: https://skillsregistry.net/skills/pysorflow-mcpdemo  
JSON: https://api.skillsregistry.net/v1/skills/pysorflow-mcpdemo

## Description

A comprehensive Model Context Protocol (MCP) server for product inventory management with PostgreSQL database backend, enabling natural language queries for product information across multiple AI platforms.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jh3m04ghip)
- **Repository:** <https://github.com/pysorflow/mcpdemo>

## 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": "pysorflow-mcpdemo"
    }
  }
}
```

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