com.stratalize/realestate
Official19 toolsStratalize Real Estate
Real estate benchmarks: cap rates, NCREIF returns, REIT, construction costs, and climate risk.
Real estate benchmarks: cap rates, REIT returns, construction costs, climate risk.
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get_stratalize_overview
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No parameters.
get_cap_rate_benchmark
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.
Parameters (3)
- asset_classstringrequired
- market_tierstring
- regionstring
get_cre_debt_benchmark
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.
Parameters (2)
- property_typestringrequired
- lender_typestring
get_mortgage_market_benchmark
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.
Parameters (2)
- loan_typestring
- statestring
get_residential_market_benchmark
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.
Parameters (2)
- market_tierstring
- property_typestring
get_housing_supply_benchmark
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.
Parameters (2)
- regionstring
- structure_typestring
get_rental_market_benchmark
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.
Parameters (2)
- market_tierstring
- unit_typestring
get_hud_fair_market_rent
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.
Parameters (2)
- metro_areastringrequired
e.g. Chicago, IL or Miami, FL
- bedroom_countinteger
get_construction_cost_benchmark
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.
Parameters (3)
- building_typestringrequired
- regionstring
- construction_classstring
get_development_pro_forma_benchmark
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.
Parameters (2)
- product_typestringrequired
- market_tierstring
get_reit_benchmark
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.
Parameters (1)
- property_sectorstringrequired
get_property_operating_benchmark
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.
Parameters (2)
- property_typestringrequired
- market_tierstring
get_property_tax_benchmark
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.
Parameters (2)
- statestringrequired
Two-letter US state code
- property_typestring
get_ncreif_return_benchmark
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.
Parameters (3)
- property_typestring
- regionstring
- periodstring
get_real_estate_debt_stress_benchmark
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.
Parameters (2)
- property_typestring
- scenariostring
get_weather_delay_risk
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.
Parameters (1)
- locationstringrequired
US city and state, or full street address (e.g. Chicago IL or 1600 Pennsylvania Ave Washington DC)
get_storm_event_history
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.
Parameters (2)
- statestring
US state name or abbreviation. Omit for national summary.
- years_backnumber
get_climate_risk_score
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.
Parameters (1)
- locationstringrequired
US city and state (e.g. Miami FL or Houston Texas)
get_noaa_disaster_economics
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.
Parameters (1)
- yearnumber
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Install
claude_desktop_config.json
{
"mcpServers": {
"realestate": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://www.stratalize.com/api/mcp-public?vertical=realestate"
]
}
}
}Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.