real-estate-data-mcp-server

MCP server providing US real estate data — housing statistics, demographics, nearby amenities, area comparisons, cost-of-living analysis, and neighborhood search.

All data comes from free, public APIs — no API keys required:

• US Census ACS 5-Year (2022) for housing and demographic data
• OpenStreetMap Nominatim for geocoding
• Overpass API for nearby amenities (schools, hospitals, parks, transit)

Tools

Tool	Description
get_housing_stats	Median home value, rent, vacancy rates, owner-occupied % for any US state or county
get_area_demographics	Population, income, education, employment, age stats from Census ACS
get_nearby_amenities	Schools, hospitals, parks, transit stops, supermarkets via OpenStreetMap
compare_areas	Side-by-side comparison of housing metrics for 2-5 locations
get_cost_of_living	Housing affordability index, cost burden analysis, national comparison
search_neighborhoods	Find neighborhoods/places in a city with key housing stats

Installation

pip install real-estate-data-mcp-server

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "real-estate": {
      "command": "real-estate-server"
    }
  }
}

Usage with Claude Code

claude mcp add real-estate -- real-estate-server

Example Queries

• "What are the housing stats for California?"
• "Compare housing costs between Texas and New York"
• "Find amenities near downtown San Francisco (37.7749, -122.4194)"
• "What's the cost of living in Colorado?"
• "Search neighborhoods in Austin, TX"
• "Get demographics for Harris County, Texas (county code 201)"

US State Codes

States can be specified by full name or abbreviation:

• "California" or "CA"
• "New York" or "NY"
• "Texas" or "TX"

Counties require 3-digit FIPS codes (e.g., "073" for San Diego County, CA).

Data Sources

• US Census Bureau — American Community Survey 5-Year Estimates (2022)
• OpenStreetMap — Nominatim geocoding + Overpass amenity queries
• All APIs are free and require no authentication for basic usage

License

MIT