real-estate-data-mcp-server
Provides access to nearby amenities (schools, hospitals, parks, transit) and geocoding via OpenStreetMap's Nominatim and Overpass APIs for US real estate data.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@real-estate-data-mcp-server what are the housing stats for Texas?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| Median home value, rent, vacancy rates, owner-occupied % for any US state or county |
| Population, income, education, employment, age stats from Census ACS |
| Schools, hospitals, parks, transit stops, supermarkets via OpenStreetMap |
| Side-by-side comparison of housing metrics for 2-5 locations |
| Housing affordability index, cost burden analysis, national comparison |
| Find neighborhoods/places in a city with key housing stats |
Related MCP server: DoorProfit Crime & Neighborhood Data
Installation
pip install real-estate-data-mcp-serverUsage 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-serverExample 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
Available Tools
6 toolscompare_areasA
Compare housing metrics for multiple US areas side-by-side.
Compares median home value, rent, income, population, and affordability for 2-5 different locations.
Args: locations: List of location dicts, each with 'state' (required) and optional 'county' FIPS code. Example: [{"state": "CA"}, {"state": "TX", "county": "201"}]
Inputs: locations (required). Returns: result
get_area_demographicsA
Get demographic data for a US state or county.
Returns population, median income, education levels, employment stats, and age distribution from the US Census ACS.
Args: state: US state name or abbreviation (e.g., "Texas" or "TX") county: Optional 3-digit FIPS county code (e.g., "201" for Harris County)
Inputs: state (required), county. Returns: result
get_cost_of_livingB
Get housing affordability and cost-of-living indicators for a US state.
Returns housing costs relative to income, affordability index, housing burden analysis, and cost comparisons.
Args: state: US state name or abbreviation (e.g., "New York" or "NY")
Inputs: state (required). Returns: result
get_housing_statsA
Get housing statistics for a US state or county.
Returns median home value, median rent, vacancy rates, and owner-occupied percentage from the US Census ACS 5-Year survey.
Args: state: US state name or abbreviation (e.g., "California" or "CA") county: Optional 3-digit FIPS county code (e.g., "073" for San Diego)
Inputs: state (required), county. Returns: result
get_nearby_amenitiesA
Find nearby amenities around a location using OpenStreetMap.
Returns schools, hospitals, parks, transit stops, supermarkets, restaurants, and pharmacies within the specified radius.
Args: lat: Latitude of the location lon: Longitude of the location radius_m: Search radius in meters (default: 2000, max: 5000)
Inputs: lat (required), lon (required), radius_m. Returns: result
search_neighborhoodsA
Search for neighborhoods/areas in a city with key housing stats.
Geocodes the city, finds the state, then returns all counties and places in that state with housing and demographic data.
Args: city: City name with state (e.g., "Austin, Texas" or "Miami, FL")
Inputs: city (required). Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 6 tools
Tools like get_housing_stats, get_cost_of_living, and get_area_demographics overlap in scope but are distinguished by their specific focus on raw housing data, affordability indices, and demographics, respectively. The descriptions clarify these differences, though potential confusion remains between similar state-level data retrieval tools.
All tools follow a consistent verb_noun pattern using underscores (e.g., get_area_demographics, compare_areas), with 'get' as the common action verb. No mixing of casing or verb styles is observed.
6 tools is an appropriate scope for a real estate data server, covering key area-level statistics, comparisons, and nearby amenities without being excessive or sparse. Each tool has a distinct role.
The tool set covers essential area-level housing, demographic, and cost-of-living data, plus neighborhood search and amenities. Minor gaps include the absence of zip-code-level data and property-specific listings, but these are within the stated domain focus.
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