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Realty In Us MCP Server

@BACH-AI-Tools

Repository

Basic information

Category

Other

Transports

stdio

Author

BACH-AI-Tools

Submitted by

FuguoAI

About Realty In Us MCP Server

Realty In Us API

#realty#real-estate#api

Realty In Us MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "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 tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

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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