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.
@BACH-AI-Tools
基本信息
Realty In Us API
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"
}
}
}
}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。
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.
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.
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.
Python and the `bach-realty_in_us` package. An active internet connection and a valid `API_KEY` are required.
Set the `API_KEY` environment variable with your API key before running the server.
It uses stdio transport.
Yes, the EMCP platform offers one‑click installation and management, eliminating the need to edit configuration files manually.
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