# Dhardestylewis Homecastr Remote MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.dhardestylewis%2Fhomecastr-remote
Registry id: `mcp-registry/io.github.dhardestylewis/homecastr-remote`
Status: unreachable (checked 2026-10-28T03:05:45.266Z)

## Measurements (30 days)

- Uptime: 72.6%
- Checks: 5096
- Outages (90 days): 1960

## Install

```json
{
  "mcpServers": {
    "dhardestylewis-homecastr-remote-mcp-serv": {
      "type": "http",
      "url": "https://www.homecastr.com/api/mcp/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http dhardestylewis-homecastr-remote-mcp-serv https://www.homecastr.com/api/mcp/mcp
```

## Tools (10)

- `forecast_by_address`: Get probabilistic home value forecasts for a US street address. Returns P10/P50/P90 bands, appreciation %, reliability score, and 5-year fan chart. Best coverag
- `forecast_by_county`: Get county-level probabilistic forecasts by 5-digit FIPS. Nationwide coverage. Good for market-level analysis.
- `forecast_by_h3_cell`: Get neighborhood-level forecasts by H3 hex cell ID at resolution 8. Houston metro only. Prefer forecast_by_tabblock or forecast_by_tract for new integrations.
- `forecast_by_parcel`: Get lot-level probabilistic forecasts by county tax parcel account number. Coverage: Florida statewide + Houston metro. Returns P10/P25/P50/P75/P90 fan chart ac
- `forecast_by_state`: Get state-level probabilistic forecasts by 2-digit FIPS. All 50 US states. Use for macro market selection.
- `forecast_by_tabblock`: Get sub-neighborhood probabilistic forecasts by US Census tabulation block GEOID20 (15 digits). Coverage: NYC (32K tabblocks) and Houston metro (34K tabblocks).
- `forecast_by_tract`: Get neighborhood-level probabilistic forecasts by US Census tract GEOID20 (11 digits). Coverage: Florida + Houston via jurisdiction model; all ~82K US tracts vi
- `forecast_by_unit`: Get unit-level forecasts by assessor account. Finest resolution - individual condo units, SFRs, townhouses. Use include_siblings=true to get all units in the sa
- `forecast_by_zcta`: Get ZIP-level probabilistic forecasts by 5-digit ZCTA. Coverage: ~20,000 ZCTAs nationwide via ACS model with 6-year horizon (0-72 months). Use this for quick cr
- `forecast_by_zip3`: Get ZIP3-level forecasts (first 3 ZIP digits). 6,210 areas nationwide. Mid-size geography between ZCTA and county.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.