# korean-engineering-mcp

> Use this tool when you need to generate evidence packages for engineering answers based on Korean construction standards, laws, and regulations. It solves problems related to searching and verifying compliance with Korean construction standards and laws, providing grounded evidence for engineering decisions. The tool takes in search queries and outputs relevant evidence packages, making it ideal for use cases requiring accurate and reliable information on Korean construction standards and regulations.

Canonical page: https://skillsregistry.net/skills/sonmeggy-korean-engineering-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sonmeggy-korean-engineering-mcp

## Description

This MCP server enables searching Korean construction standards (KDS/KCS), laws from the Ministry of Government Legislation, administrative rules and interpretations, and optionally local water/wastewater design manuals to generate grounded evidence packages for engineering answers.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bl8q0qdwys)
- **Repository:** <https://github.com/sonmeggy/korean-engineering-mcp>

## 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": "sonmeggy-korean-engineering-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sonmeggy-korean-engineering-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sonmeggy-korean-engineering-mcp/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