What API key is required?
You need a Zillow Bridge API key. Request access by emailing api@bridgeinteractive.com.
Zillow Real Estate Data MCP Server
@sap156
基本信息
关于 Zillow Real Estate Data MCP Server
Access Zillow property data, market trends, and mortgage calculations through MCP
Zillow Real Estate Data 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": {
"zillow": {
"command": "npx",
"args": [
"-y",
"zillow-mcp-server"
],
"env": {
"ZILLOW_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Zillow Real Estate Data 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 Zillow Real Estate Data?
An MCP server that provides real-time access to Zillow real estate data, built with Python and FastMCP. It enables AI assistants like Claude to search properties, retrieve Zestimates, analyze market trends, and calculate mortgages using the Zillow Bridge API.
How to use Zillow Real Estate Data?
Install Python 3.8+, obtain a Zillow Bridge API key from api@bridgeinteractive.com, clone the repository, install dependencies, create a .env file with your key, then run python zillow_mcp_server.py. For Claude Desktop, add the server to your claude_desktop_config.json. Can also run as an HTTP server or via Docker.
Key features of Zillow Real Estate Data
- Search properties by location, price, beds, baths, and home type
- Retrieve detailed property information and Zestimates
- Access real estate market trends for any location
- Calculate mortgage payments with customizable parameters
- Health check endpoint to verify API connectivity
- Built-in error handling with exponential backoff retries
Use cases of Zillow Real Estate Data
- Search for homes in a city with specific price and bedroom filters
- Get Zillow's estimated value for a given property address
- Analyze median list price and days on market for a location
- Compute monthly mortgage payments with down payment and interest rate
- Verify API status and available tools before making requests
常见问题
What are the usage limitations?
Zillow's API limits typically allow 1,000 requests per day per dataset. Data must not be stored locally; all requests must be dynamic, and attribution to Zillow is required.
How can I run the server with Docker?
Build the image with `docker build -t zillow-mcp-server .` and run with `docker run -p 8000:8000 -e ZILLOW_API_KEY=your_key_here zillow-mcp-server`.
What tools are available?
Tools include `search_properties`, `get_property_details`, `get_zestimate`, `get_market_trends`, `calculate_mortgage`, `check_health`, and `get_server_tools`.
Does the server handle errors?
Yes, it implements automatic retries with exponential backoff, rate limit handling, connection timeouts, and graceful degradation.
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