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Realty In Us MCP Server

@BACH-AI-Tools

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

BACH-AI-Tools

提交者

FuguoAI

关于 Realty In Us MCP Server

Realty In Us API

#realty#real-estate#api

Realty In Us MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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