# Korea Housing MCP

> Korea Housing MCP — doorijaehyuk-korea-housing-mcp. Use this tool when you need to research and analyze housing development in South Korea, as it integrates national law information, building registers, and statistical data for comprehensive insights. It solves problems related to housing policy, urban planning, and market research by providing easy access to relevant data through natural language search. The tool takes natural language queries as input and returns relevant laws, building details, and statistical data as output.

Canonical page: https://skillsregistry.net/skills/doorijaehyuk-korea-housing-mcp  
JSON: https://api.skillsregistry.net/v1/skills/doorijaehyuk-korea-housing-mcp

## Description

This MCP server integrates South Korea's national law information, building registers from MOLIT, and KOSIS statistics for housing development research. It enables searching laws, retrieving building details, and accessing statistical data through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uhuiuejxvm)
- **Repository:** <https://github.com/doorijaehyuk/korea-housing-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": "doorijaehyuk-korea-housing-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/doorijaehyuk-korea-housing-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/doorijaehyuk-korea-housing-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