Zillow Real Estate Data

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 [email protected], 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

FAQ from Zillow Real Estate Data

What API key is required?

You need a Zillow Bridge API key. Request access by emailing [email protected].

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.