# mcp-variable

> Use this tool when you need to convert Korean terminology to physical column names or vice versa, solving terminology inconsistencies and data integration problems. It takes a standard CSV dictionary as input and outputs the transformed terms, physical names, and variable cases. This tool is ideal for developers working with Korean data sources who require seamless terminology conversion and data mapping.

Canonical page: https://skillsregistry.net/skills/lahuman-mcp-variable  
JSON: https://api.skillsregistry.net/v1/skills/lahuman-mcp-variable

## Description

Converts between Korean terminology and physical column names using a standard CSV dictionary, enabling developers to look up and transform terms, physical names, and variable cases.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ve1g99bhli)
- **Repository:** <https://github.com/lahuman/mcp-variable>

## 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": "lahuman-mcp-variable"
    }
  }
}
```

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