# seoul-individual-land-price-mcp

> seoul-individual-land-price-mcp — hlucent-seoul-individual-land-price-mcp. Use this tool when you need to retrieve individual land prices in Seoul, or when analyzing real estate data by district and year. It solves problems related to land price queries, filtering, and data analysis, providing outputs in a query-based format with optional land parcel filters. It takes inputs such as district, year, and land parcel details, and is particularly useful for applications requiring Korean language support and access to Seoul's open data.

Canonical page: https://skillsregistry.net/skills/hlucent-seoul-individual-land-price-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hlucent-seoul-individual-land-price-mcp

## Description

MCP server providing Seoul's individual publicly announced land prices via Seoul Open Data Plaza, allowing queries by district, year, and optional land parcel filters, with Korean language support.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a417iazkdp)
- **Repository:** <https://github.com/hlucent/seoul-individual-land-price-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": "hlucent-seoul-individual-land-price-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hlucent-seoul-individual-land-price-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hlucent-seoul-individual-land-price-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