Zillow Real Estate MCP Server MCP Server

About

## Zillow MCP Server: Real Estate Data Intelligence The **Zillow MCP Server** integrates Zillow's comprehensive real estate data platform directly into Google Antigravity, enabling AI assistants to access property valuations, listings, market trends, and neighborhood information. This integration brings the largest real estate database in the United States to your development workflow for property-related applications. ### Why Zillow MCP? - **Zestimate Valuations**: Access Zillow's proprietary automated valuation model for over 100 million US homes - **Comprehensive Listings**: Search active and off-market listings with detailed property information and photos - **Market Analytics**: Analyze market trends, price forecasts, and competitive market analysis data - **Neighborhood Data**: Access school ratings, crime statistics, walkability scores, and local amenities - **Historical Data**: Review property history including past sales, price changes, and tax assessments ### Key Features #### 1. Property Search ```python from anthropic import Anthropic client = Anthropic() response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Search for 3-bedroom homes in Austin under $500k with a pool and good school ratings" }], tools=[{ "name": "zillow_search", "description": "Search real estate listings" }] ) ``` #### 2. Property Valuation ```python # Get Zestimate values response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Get the Zestimate and rental estimate for this property address" }], tools=[{"name": "zillow_zestimate", "description": "Access property valuations"}] ) ``` #### 3. Market Analysis ```python # Analyze market trends response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Show me the market trends and price forecast for the Denver metro area" }], tools=[{"name": "zillow_market", "description": "Access market analytics"}] ) ``` #### 4. Comparable Sales ```python # Find comparable properties response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "role": "user", "content": "Find comparable recent sales for this property to validate the asking price" }], tools=[{"name": "zillow_comps", "description": "Find comparable sales"}] ) ``` ### Configuration ```json { "mcpServers": { "zillow": { "command": "npx", "args": ["-y", "@anthropic/mcp-zillow"], "env": { "ZILLOW_API_KEY": "your-zillow-api-key" } } } } ``` ### Use Cases **Real Estate Applications**: Build property search and valuation tools with comprehensive listing and market data. **Investment Analysis**: Analyze rental yields, appreciation trends, and market conditions for real estate investment decisions. **Mortgage Technology**: Integrate property valuations and market data into lending and refinancing workflows. **Relocation Services**: Help users explore neighborhoods with school ratings, commute times, and local amenity information. The Zillow MCP Server brings comprehensive real estate intelligence to your applications, enabling property-related features powered by the largest US housing database.

Installation

{
  "mcpServers": {
    "zillow": {
      "mcpServers": {
        "zillow": {
          "env": {
            "ZILLOW_API_KEY": "YOUR_API_KEY"
          },
          "args": [
            "-y",
            "zillow-mcp-server"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

1. 1Property listings
2. 2Home estimates
3. 3Market data