# APM Terminal Operations Intelligence

> Use this tool when you need to analyze and optimize container terminal operations through intuitive natural language queries. It solves problems related to vessel tracking, crane management, and productivity metrics, providing insights to improve operational efficiency. The tool accepts natural language inputs and returns relevant data and metrics from a MySQL database.

Canonical page: https://skillsregistry.net/skills/unes97-mcp-db-demo  
JSON: https://api.skillsregistry.net/v1/skills/unes97-mcp-db-demo

## Description

Enables querying and analysis of container terminal operations including vessel tracking, crane management, and productivity metrics through natural language interactions with a MySQL database.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mndee8zgwj)
- **Repository:** <https://github.com/UNES97/mcp-db-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": "unes97-mcp-db-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unes97-mcp-db-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unes97-mcp-db-demo/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