# Stratalize Real Estate (remote · www.stratalize.com)

Real estate benchmarks: cap rates, NCREIF returns, REIT, construction costs, and climate risk.

- Trust score: 67/100 (medium)
- Change this week: +10
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `www.stratalize.com`: 67/100 (this document), [markdown](https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public.md), [page](https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public)

## Channel facts

- Endpoint: `https://www.stratalize.com/api/mcp-public?vertical=realestate`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 44/100
  - AI-judged instruction clarity (poor).
  - Context-footprint check failed: tool/resource definitions use about 2209 tokens (~116/item across 19 items; 19 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 73/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 19% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-stratalize-realestate https://www.stratalize.com/api/mcp-public?vertical=realestate
```

### Codex

```toml
[mcp_servers.com-stratalize-realestate]
url = "https://www.stratalize.com/api/mcp-public?vertical=realestate"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-stratalize-realestate": {
      "type": "remote",
      "url": "https://www.stratalize.com/api/mcp-public?vertical=realestate",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-stratalize-realestate --url https://www.stratalize.com/api/mcp-public?vertical=realestate --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-stratalize-realestate:
    url: "https://www.stratalize.com/api/mcp-public?vertical=realestate"
```

### Other

```json
{
  "mcpServers": {
    "com-stratalize-realestate": {
      "type": "http",
      "url": "https://www.stratalize.com/api/mcp-public?vertical=realestate"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-01 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 65, +6)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 58, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-07-27 (score 57, +41)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 16)

First indexed and scored.

## MCP tools (19)

### `get_stratalize_overview` (~112 tokens)

START HERE — Returns the complete Stratalize tool catalog: governed MCP tools across finance, healthcare, governance, real estate, crypto, and intelligence. Available via public MCP (no auth) or x402 micropayments on Base ($0.02 atomic · $0.10 benchmark · $0.50 synthesis · $1.00 premium · $3.00 outcome pack). Org intelligence, agent governance, and role briefs require OAuth. Call this first to discover tools by role or vertical.

### `get_cap_rate_benchmark` (~84 tokens)

Commercial real estate cap rate benchmarks by asset class, market tier, and geography. Source: CBRE and JLL quarterly cap rate surveys. Used by CRE acquisition teams, asset managers, and real estate CFOs for property pricing and portfolio valuation.

Input parameters:

- `asset_class` (string, required)
- `market_tier` (string)
- `region` (string)

### `get_cre_debt_benchmark` (~90 tokens)

Commercial real estate debt benchmarks — DSCR minimums, LTV maximums, and spread ranges by property type and lender type (bank, agency, CMBS, life company). Source: MBA CREF databook and Trepp public data. For CRE CFOs and capital markets teams structuring financings.

Input parameters:

- `lender_type` (string)
- `property_type` (string, required)

### `get_mortgage_market_benchmark` (~80 tokens)

Live mortgage rate benchmarks — 30Y and 15Y fixed from FRED weekly survey, ARM spreads, points and fees, DTI standards, and affordability index. For homebuyers, lenders, real estate agents, and housing analysts. Rates update weekly.

Input parameters:

- `loan_type` (string)
- `state` (string)

### `get_residential_market_benchmark` (~85 tokens)

Residential real estate market benchmarks — home price indices, price-to-rent ratios, affordability, months of supply, and homeownership rate by market tier. Sources: FHFA HPI, FRED live data, Census. For residential investors, agents, developers, and housing analysts.

Input parameters:

- `market_tier` (string)
- `property_type` (string)

### `get_housing_supply_benchmark` (~74 tokens)

Live housing supply indicators — starts, permits, completions, and absorption by market tier from FRED and Census. Leading indicator for housing prices 6-12 months ahead. For developers, lenders, investors, and housing policy analysts.

Input parameters:

- `region` (string)
- `structure_type` (string)

### `get_rental_market_benchmark` (~88 tokens)

Rental market benchmarks — asking rents by unit type, live vacancy rate from FRED, rent growth trends, and rent-to-income ratios by market tier. Sources: HUD Fair Market Rents, FRED live vacancy, ApartmentList public data. For landlords, multifamily investors, and property managers.

Input parameters:

- `market_tier` (string)
- `unit_type` (string)

### `get_hud_fair_market_rent` (~88 tokens)

HUD Fair Market Rents by metro area and bedroom count. Used for affordable housing underwriting, Section 8 Housing Choice Voucher compliance, LIHTC income limit calculations, and housing authority budgeting. Source: HUD annual FMR dataset. Free.

Input parameters:

- `bedroom_count` (integer)
- `metro_area` (string, required): e.g. Chicago, IL or Miami, FL

### `get_construction_cost_benchmark` (~86 tokens)

Construction cost benchmarks — hard cost per SF by building type and region, soft cost ratios, contingency standards, and live material cost escalation signals. Sources: NAHB, Turner Building Cost Index, RSMeans composites. For developers, lenders, and project owners.

Input parameters:

- `building_type` (string, required)
- `construction_class` (string)
- `region` (string)

### `get_development_pro_forma_benchmark` (~79 tokens)

Development pro forma benchmarks — yield on cost, profit-on-cost, construction-to-perm spread, and return hurdles by product type. For developers underwriting new projects and lenders sizing construction loans. Sources: NAHB, ULI, industry composite.

Input parameters:

- `market_tier` (string)
- `product_type` (string, required)

### `get_reit_benchmark` (~72 tokens)

REIT valuation and performance benchmarks — FFO multiples, AFFO multiples, dividend yields, NAV premium/discount, and total returns by property sector. Source: NAREIT public monthly data. For REIT analysts, portfolio managers, and IR teams. Free.

Input parameters:

- `property_sector` (string, required)

### `get_property_operating_benchmark` (~78 tokens)

Property operating benchmarks — OpEx per SF, NOI margins, and occupancy rates by property type. Sources: BOMA Experience Exchange, IREM Income/Expense Analysis, NCREIF. For asset managers, property managers, and acquisition underwriters.

Input parameters:

- `market_tier` (string)
- `property_type` (string, required)

### `get_property_tax_benchmark` (~85 tokens)

Property tax benchmarks — effective tax rates by state and property type, assessment ratios, and appeal success rates. Source: Lincoln Institute of Land Policy. For property owners, asset managers, and acquisition teams. Property tax is the largest controllable operating expense for most commercial properties.

Input parameters:

- `property_type` (string)
- `state` (string, required): Two-letter US state code

### `get_ncreif_return_benchmark` (~89 tokens)

NCREIF Property Index institutional return benchmarks — total returns, income returns, and appreciation by property type and region. The standard benchmark for institutional real estate portfolios. Source: NCREIF quarterly public data. For pension funds, endowments, and institutional asset managers.

Input parameters:

- `period` (string)
- `property_type` (string)
- `region` (string)

### `get_real_estate_debt_stress_benchmark` (~82 tokens)

CRE debt stress benchmarks — live delinquency rate from FRED, CMBS delinquency by property type, maturity wall exposure, and stressed cap rate scenarios. For lenders, special servicers, distressed investors, and regulators. Delinquency rate updates quarterly.

Input parameters:

- `property_type` (string)
- `scenario` (string)

### `get_weather_delay_risk` (~204 tokens)

Use when scheduling outdoor construction work, planning equipment deployment, or assessing weather risk for any US project site. Analyzes NOAA 7-day forecast data against construction delay thresholds — precipitation probability, wind speed above 25 mph, and freeze events below 32°F — returning a risk tier and specific high-risk days to avoid. Example: Chicago IL project site shows HIGH delay risk Thursday through Saturday — 70% precipitation probability, 2.3 inches rain forecast, 28°F overnight low Friday. Reschedule concrete pours and crane operations. Source: NOAA National Weather Service — official US government forecast.

Input parameters:

- `lat` (number): Optional WGS84 latitude; use with lon to bypass geocoding
- `location` (string): US city and state, or full street address (e.g. Miami, FL or 1600 Pennsylvania Ave Washington DC)
- `lon` (number): Optional WGS84 longitude; use with lat to bypass geocoding

### `get_storm_event_history` (~168 tokens)

Use when quantifying climate-related financial risk for insurance underwriting, real estate acquisition due diligence, ESG climate risk disclosures, or board-level climate briefings. Returns NOAA's official tally of billion-dollar weather disasters — hurricane, flooding, tornado, wildfire, winter storm — with event frequency, total economic losses, deaths, and trend direction. The same dataset cited by reinsurers, the Federal Reserve Financial Stability Report, and the SEC climate disclosure framework. Example: Texas 10-year history — 31 billion-dollar events, $174B total losses, frequency increasing — highest insured loss exposure of any US state. Source: NOAA NCEI Billion-Dollar Disasters.

Input parameters:

- `state` (string): US state name or abbreviation. Omit for national summary.
- `years_back` (number)

### `get_climate_risk_score` (~168 tokens)

Use when pricing physical climate risk for a location — real estate acquisition, commercial property underwriting, construction site selection, or climate-related financial disclosure. Returns a composite risk score across six perils (flood, hurricane, tornado, wildfire, extreme heat, freeze) using the same risk factors embedded in FEMA's National Risk Index. Example: Miami-Dade FL — EXTREME overall, top 2% hurricane exposure, Zone AE flood designation across 40% of commercial parcels, 94 days above 95°F annually — commercial property insurance costs 3.2x national median. Source: NOAA Climate Normals, FEMA National Risk Index, USGS Natural Hazards composite.

Input parameters:

- `location` (string, required): US city and state (e.g. Miami FL or Houston Texas)

### `get_noaa_disaster_economics` (~153 tokens)

Use when establishing the macroeconomic cost of climate risk for board-level ESG reporting, reinsurance negotiations, infrastructure investment decisions, or climate-related financial risk disclosures under SEC or TCFD frameworks. Returns NOAA's official annual billion-dollar disaster economics — event count, total losses, deaths, and historical context showing 10-year trend acceleration. Example: 2023 — 28 events, $92.9B total losses, 12% above the 10-year average — the fifth consecutive year of above-average economic losses. Cited by the Federal Reserve, Treasury, and major reinsurers as the authoritative US climate loss series. Source: NOAA NCEI.

Input parameters:

- `year` (number)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public#diagnostics

## Score history

- 2026-08-03: 67
- 2026-08-02: 66
- 2026-08-01: 66
- 2026-07-31: 65
- 2026-07-30: 59
- 2026-07-29: 58
- 2026-07-28: 58
- 2026-07-27: 57
- 2026-07-26: 16

## Links

- Remote endpoint: https://www.stratalize.com/api/mcp-public?vertical=realestate
- Repository: https://github.com/Stratalize/Stratalize
- Website: https://www.stratalize.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-stratalize-realestate/api-mcp-public