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Realty In Us MCP Server

@BACH-AI-Tools

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

BACH-AI-Tools

投稿者

FuguoAI

Realty In Us MCP Server について

Realty In Us API

#realty#real-estate#api

Realty In Us MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "realty_in_us": {
      "command": "uvx",
      "args": [
        "--from",
        "bach-realty_in_us",
        "bach_realty_in_us"
      ],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}

Realty In Us MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Realty_in_us?

Realty_in_us is an MCP server that provides access to the Realty In Us API, enabling real estate data queries for property listings, agent information, and mortgage tools.

How to use Realty_in_us?

Install the bach-realty_in_us package via pip or run directly using uvx without installation. Set the API_KEY environment variable for authentication. Use with Claude Desktop by adding a realty_in_us entry to claude_desktop_config.json. Alternatively, configure through the EMCP platform for a zero‑setup experience.

Key features of Realty_in_us

  • List properties for sale, rent, or sold with filters
  • Search for agents by location, name, or postal code
  • Get agent profiles, listings, recommendations, and reviews
  • Check mortgage rates, calculate affordability, and get finance rates
  • Quick setup via uvx or EMCP platform without manual config

Use cases of Realty_in_us

  • Search for homes for sale in a specific city or postal code
  • Find top‑rated real estate agents in a given area
  • Estimate monthly mortgage payments based on price, down payment, and interest rate
  • Compare current mortgage and equity loan rates by zip code
  • Access agent contact details and recent recommendations

よくある質問

1

What data can I access with Realty_in_us?

It provides access to property listings (for sale, rent, sold), agent profiles, listings, recommendations, reviews, and mortgage/finance rate information through the Realty In Us API.

2

What are the runtime dependencies?

Python and the `bach-realty_in_us` package. An active internet connection and a valid `API_KEY` are required.

3

How do I authenticate?

Set the `API_KEY` environment variable with your API key before running the server.

4

What transport protocol does Realty_in_us use?

It uses stdio transport.

5

Can I use Realty_in_us without manual configuration?

Yes, the EMCP platform offers one‑click installation and management, eliminating the need to edit configuration files manually.

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