# japan-real-estate-intel

> Use this tool when you need to analyze and predict Japan's real estate market trends, optimize investment portfolios, or evaluate locations for businesses, families, or retail stores. It provides AI-powered predictions, scores, and optimization recommendations based on various data inputs, such as location, industry, and demographic factors. Ideal for investors, businesses, and individuals seeking data-driven insights on Japan's real estate market.

Canonical page: https://skillsregistry.net/skills/sugukurukabe-japan-real-estate-intel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sugukurukabe-japan-real-estate-intel-mcp

## Description

| 地価トレンド予測 | 新宿区の5年後地価をAI予測。CAGR・投資シグナル付き |
| 企業立地需要分析 | 名古屋市中区のオフィス・工場需要スコアを算出 |
| ファミリー向け適性評価 | 横浜市西区の教育・安全・医療スコアを総合評価 |
| ポートフォリオ最適化 | 東京・大阪・埼玉の3エリアに投資配分を最適化 |
| What-If シナリオ分析 | 大阪市中央区で新駅開設シナリオを試算 |
| 店舗出店適地評価 | 福岡市博多区の人流・商業施設・交通データで出店適性を判定 |

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e0d1mqf7rs)
- **Repository:** <https://github.com/sugukurukabe/japan-real-estate-intel-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": "sugukurukabe-japan-real-estate-intel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sugukurukabe-japan-real-estate-intel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sugukurukabe-japan-real-estate-intel-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