CRE Intelligence

Get live interest rates from the Federal Reserve (FRED). Returns SOFR, 10-year Treasury, 5-year Treasury, Fed Funds Rate, and 30-day SOFR average. Also calculates implied cap rate ranges based on current treasury spreads. Use this BEFORE any DCF model or loan underwriting. These are real-time numbers Claude cannot access on its own.

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Get Census Bureau demographics for any US property address. Returns median income, population, employment rate, housing vacancy, median rents, and education levels for the census tract. This is address-specific data from the actual Census tract — not estimates. Claude cannot access this without the MCP. For 1/3/5-mile trade-area rings, use get_radius_demographics instead.

{
  "type": "object",
  "properties": {
    "address": {
      "type": "string",
      "description": "Full US property address (e.g. \"1234 Main St, Charlotte, NC 28202\")"
    }
  },
  "required": [
    "address"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Get aggregated Census demographics for radius rings around a US property address — the standard 1/3/5-mile trade-area format used in CRE site analysis. Aggregates every census tract whose centroid falls within each radius: population, household-weighted median income, employment rate, college attainment, housing vacancy, renter share, and median rent. Use this for trade-area / site analysis. Use get_market_demographics for the single census tract immediately around the address.

{
  "type": "object",
  "properties": {
    "address": {
      "type": "string",
      "description": "Full US property address (e.g. \"1234 Main St, Charlotte, NC 28202\")"
    },
    "radii_miles": {
      "default": "1,3,5",
      "type": "string",
      "description": "Comma-separated radii in miles (default \"1,3,5\", each capped at 15)"
    }
  },
  "required": [
    "address"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Screen a US county as a LAND-INVESTING market (raw-land flip / Podolsky style). Grades the county on the signals that matter for buying cheap rural land and reselling on terms: population growth, demographics, owner share, and affordability. IMPORTANT: This screens on FREE Census data only (growth + demographics + a home-value affordability proxy). It does NOT include actual land sale prices or comps — those require county records or a paid service, and must be verified per-parcel before buying. Use this to rank/shortlist markets, not to buy.

{
  "type": "object",
  "properties": {
    "state": {
      "type": "string",
      "description": "2-letter state abbreviation (e.g. \"AZ\") or 2-digit state FIPS"
    },
    "county": {
      "type": "string",
      "description": "County name (e.g. \"Mohave\" or \"Mohave County\")"
    }
  },
  "required": [
    "state",
    "county"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Pre-screen a land parcel's location for the AUTOMATABLE due-diligence red flags: FEMA flood zone and federal wetlands. Pulls live from FEMA's National Flood Hazard Layer and the US Fish & Wildlife National Wetlands Inventory. Use this to kill obviously-bad parcels (flood zone, wetlands) at scale BEFORE spending time on manual due diligence. IMPORTANT: Checks flood + wetlands only. It does NOT check legal ACCESS (landlocked — the #1 land deal-killer), title/liens, or zoning — those stay MANUAL, per-parcel checks via county records. A clean screen here is necessary, NOT sufficient.

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "description": "Parcel latitude (decimal degrees)"
    },
    "lng": {
      "type": "number",
      "description": "Parcel longitude (decimal degrees)"
    }
  },
  "required": [
    "lat",
    "lng"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Get current CPI and rent inflation data from the Federal Reserve. Returns overall inflation, shelter inflation, and rent-specific CPI with YoY changes. Use this to calibrate rent growth assumptions in your DCF model — don't guess.

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Get Commercial Real Estate price index and broader market data from the Federal Reserve. Returns CRE price trends, office/retail/industrial vacancy proxies, and credit spreads. Provides macro context for deal underwriting and cap rate analysis.

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Extract structured tenant and lease data from a rent roll document. Paste the text content of your rent roll PDF here (copy-paste from PDF reader). Returns tenant list, suite/SF, lease dates, monthly rent, escalations, and options.

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Raw text copied from a rent roll PDF"
    },
    "property_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional property name for context"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Extract all key terms from a commercial lease document. Returns term, base rent schedule, escalations, TI allowance, CAM structure, renewal options, termination rights, exclusivity, co-tenancy, and red flags.

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "Raw text copied from a commercial lease PDF"
    }
  },
  "required": [
    "text"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Analyze a parsed rent roll for investment risks. Feed the output from analyze_rent_roll directly into this tool. Returns: rollover risk, tenant concentration, credit risk, and actionable recommendations.

{
  "type": "object",
  "properties": {
    "rent_roll_json": {
      "type": "string",
      "description": "JSON string from the analyze_rent_roll tool output"
    }
  },
  "required": [
    "rent_roll_json"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Build a levered DCF model using live Federal Reserve rates. Automatically fetches current SOFR to derive the loan rate if not provided. Returns: annual cash flows, IRR, equity multiple, cash-on-cash, DSCR, and exit analysis.

{
  "type": "object",
  "properties": {
    "noi_year1": {
      "type": "number",
      "description": "Year 1 Net Operating Income ($)"
    },
    "purchase_price": {
      "type": "number",
      "description": "Acquisition price ($)"
    },
    "hold_years": {
      "default": 10,
      "type": "integer",
      "description": "Hold period in years (default 10)"
    },
    "noi_growth_rate": {
      "default": 3,
      "type": "number",
      "description": "Annual NOI growth rate % (default 3.0)"
    },
    "exit_cap_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Exit cap rate % — if None, uses entry cap + 25bps (conservative)"
    },
    "equity_pct": {
      "default": 35,
      "type": "number",
      "description": "Equity as % of purchase price (default 35%)"
    },
    "loan_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Loan interest rate % — if None, fetches live SOFR + 175bps"
    },
    "amortization_years": {
      "default": 30,
      "type": "integer",
      "description": "Loan amortization period (default 30 years)"
    }
  },
  "required": [
    "noi_year1",
    "purchase_price"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}

Generate a formatted CRE acquisition memo / Investment Committee memo. Automatically pulls live rates from FRED and demographics from Census Bureau to provide real market context — not guesses.

{
  "type": "object",
  "properties": {
    "property_address": {
      "type": "string",
      "description": "Full property address"
    },
    "property_type": {
      "type": "string",
      "description": "Multifamily / Office / Retail / Industrial / Mixed-Use"
    },
    "noi": {
      "type": "number",
      "description": "Net Operating Income ($)"
    },
    "asking_price": {
      "type": "number",
      "description": "Asking price ($)"
    },
    "rent_roll_summary": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional: paste output from analyze_rent_roll or flag_lease_risks"
    },
    "additional_context": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Any additional deal notes, seller info, market color"
    }
  },
  "required": [
    "property_address",
    "property_type",
    "noi",
    "asking_price"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "x-fastmcp-wrap-result": true
}

Generate a downloadable Excel (.xlsx) underwriting model with LIVE formulas — editable assumptions, PMT/FV amortization, IRR, equity multiple, a sensitivity grid, live Fed rates, and (if an address is given) Census trade-area demographics. Returns a download link valid for 60 minutes.

{
  "type": "object",
  "properties": {
    "noi_year1": {
      "type": "number",
      "description": "Year 1 Net Operating Income ($)"
    },
    "purchase_price": {
      "type": "number",
      "description": "Acquisition price ($)"
    },
    "address": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional property address — adds a demographics sheet"
    },
    "property_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional label for the model header"
    },
    "hold_years": {
      "default": 10,
      "type": "integer",
      "description": "Hold period (default 10)"
    },
    "noi_growth_rate": {
      "default": 3,
      "type": "number",
      "description": "Annual NOI growth % (default 3.0)"
    },
    "exit_cap_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Exit cap % — default entry cap + 25bps"
    },
    "equity_pct": {
      "default": 35,
      "type": "number",
      "description": "Equity as % of price (default 35)"
    },
    "loan_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Loan rate % — default live SOFR + 175bps"
    },
    "amortization_years": {
      "default": 30,
      "type": "integer",
      "description": "Amortization (default 30)"
    }
  },
  "required": [
    "noi_year1",
    "purchase_price"
  ],
  "additionalProperties": false
}

{
  "type": "object",
  "additionalProperties": true
}