# Korean Land MCP

> Use this tool when you need to access and analyze Korean land use planning and regulations through natural language queries. It solves problems related to property development, urban planning, and regulatory compliance by providing accurate and up-to-date information on land use, permits, and public notices. The tool takes natural language queries as input and outputs relevant land planning and regulatory data to support informed decision-making in property-related AI applications.

Canonical page: https://skillsregistry.net/skills/urbanwatcherkr-korean-land-mcp  
JSON: https://api.skillsregistry.net/v1/skills/urbanwatcherkr-korean-land-mcp

## Description

Provides AI access to Korea's land use planning, urban regulations, and permit information through natural language queries. It integrates tools for land analysis, regulation verification, and public notice scraping to prevent hallucinations in property-related AI applications.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kbz8kllrkz)
- **Repository:** <https://github.com/UrbanWatcherKr/korean-land-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": "urbanwatcherkr-korean-land-mcp"
    }
  }
}
```

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