US Real Estate Data
Server Details
US real estate data: home prices, rents, and market trends
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 3.5/5 across 3 of 3 tools scored.
Each tool targets a distinct aspect: home prices, market indicators, and rental data. No overlap in purpose.
All tools use consistent 'get_' prefix with snake_case naming, following a clear verb_noun pattern.
Three tools is a compact but reasonable set for a focused real estate data server, covering key areas without being too thin.
Covers home prices, rental data, and major market indicators. Minor gaps like sales volume or inventory do not significantly hinder common use cases.
Available Tools
3 toolsget_home_pricesInspect
Get US home price data. Returns national median home price (FRED MSPUS) or metro-level Zillow ZHVI data. Includes current value, YoY change, and 12-month history.
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | Data type: national or metro (default: national) | national |
| limit | No | Number of historical data points (default 12) | |
| metro | No | Metro area name (e.g. "New York, NY", "Los Angeles, CA"). If omitted, returns national data. | |
| state | No | 2-letter state code to get all metros in a state (e.g. TX, CA). |
get_market_indicatorsInspect
Get key US housing market indicators from FRED: housing starts, building permits, median home price, 30-year mortgage rate, and Case-Shiller index.
| Name | Required | Description | Default |
|---|---|---|---|
| series | No | Comma-separated FRED series IDs to filter (e.g. "HOUST,MORTGAGE30US"). Valid: HOUST, PERMIT, MSPUS, MORTGAGE30US, CSUSHPINSA. Default: all. |
get_rental_dataInspect
Get US rental market data from FRED BLS CPI series. Returns national rent index, YoY change, and monthly history.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of historical data points (default 12) | |
| metro | No | Metro area (optional; national data returned regardless) |
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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