Servidor MCP

CRE Intelligence

            io.github.Zwondra/cre-intelligence-mcp
        

Finanzas e inversión Bienes raíces Público y accesible MCP 2025-11-25

Qué hace este MCP

Supports commercial real estate underwriting with live rates, DCF models, lease and rent-roll analysis, demographics, market data, and investment memos.

abstract_lease

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.

Esquema de entrada

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

Esquema de salida

{'type': 'object', 'additionalProperties': True}

analyze_rent_roll

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.

Esquema de entrada

{'type': 'object', 'required': ['text'], 'properties': {'text': {'type': 'string', 'description': 'Raw text copied from a rent roll PDF'}, 'property_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Optional property name for context'}}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

build_dcf_model

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.

Esquema de entrada

{'type': 'object', 'required': ['noi_year1', 'purchase_price'], 'properties': {'loan_rate': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'default': None, 'description': 'Loan interest rate % â\x80\x94 if None, fetches live SOFR + 175bps'}, 'noi_year1': {'type': 'number', 'description': 'Year 1 Net Operating Income ($)'}, 'equity_pct': {'type': 'number', 'default': 35.0, 'description': 'Equity as % of purchase price (default 35%)'}, 'hold_years': {'type': 'integer', 'default': 10, 'description': 'Hold period in years (default 10)'}, 'exit_cap_rate': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'default': None, 'description': 'Exit cap rate % â\x80\x94 if None, uses entry cap + 25bps (conservative)'}, 'purchase_price': {'type': 'number', 'description': 'Acquisition price ($)'}, 'noi_growth_rate': {'type': 'number', 'default': 3.0, 'description': 'Annual NOI growth rate % (default 3.0)'}, 'amortization_years': {'type': 'integer', 'default': 30, 'description': 'Loan amortization period (default 30 years)'}}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

export_dcf_excel

Generate a downloadable Excel (.xlsx) underwriting model with LIVE formulas â 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.

Esquema de entrada

{'type': 'object', 'required': ['noi_year1', 'purchase_price'], 'properties': {'address': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Optional property address â\x80\x94 adds a demographics sheet'}, 'loan_rate': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'default': None, 'description': 'Loan rate % â\x80\x94 default live SOFR + 175bps'}, 'noi_year1': {'type': 'number', 'description': 'Year 1 Net Operating Income ($)'}, 'equity_pct': {'type': 'number', 'default': 35.0, 'description': 'Equity as % of price (default 35)'}, 'hold_years': {'type': 'integer', 'default': 10, 'description': 'Hold period (default 10)'}, 'exit_cap_rate': {'anyOf': [{'type': 'number'}, {'type': 'null'}], 'default': None, 'description': 'Exit cap % â\x80\x94 default entry cap + 25bps'}, 'property_name': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Optional label for the model header'}, 'purchase_price': {'type': 'number', 'description': 'Acquisition price ($)'}, 'noi_growth_rate': {'type': 'number', 'default': 3.0, 'description': 'Annual NOI growth % (default 3.0)'}, 'amortization_years': {'type': 'integer', 'default': 30, 'description': 'Amortization (default 30)'}}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

flag_lease_risks

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.

Esquema de entrada

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

Esquema de salida

{'type': 'object', 'additionalProperties': True}

generate_deal_memo

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 â not guesses.

Esquema de entrada

{'type': 'object', 'required': ['property_address', 'property_type', 'noi', 'asking_price'], 'properties': {'noi': {'type': 'number', 'description': 'Net Operating Income ($)'}, 'asking_price': {'type': 'number', 'description': 'Asking price ($)'}, 'property_type': {'type': 'string', 'description': 'Multifamily / Office / Retail / Industrial / Mixed-Use'}, 'property_address': {'type': 'string', 'description': 'Full property address'}, 'rent_roll_summary': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Optional: paste output from analyze_rent_roll or flag_lease_risks'}, 'additional_context': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Any additional deal notes, seller info, market color'}}, 'additionalProperties': False}

Esquema de salida

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

get_cre_market_data

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.

Esquema de entrada

{'type': 'object', 'properties': {}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

get_current_rates

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.

Esquema de entrada

{'type': 'object', 'properties': {}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

get_inflation_data

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 â don't guess.

Esquema de entrada

{'type': 'object', 'properties': {}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

get_market_demographics

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 â not estimates. Claude cannot access this without the MCP. For 1/3/5-mile trade-area rings, use get_radius_demographics instead.

Esquema de entrada

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

Esquema de salida

{'type': 'object', 'additionalProperties': True}

get_radius_demographics

Get aggregated Census demographics for radius rings around a US property address â 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.

Esquema de entrada

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

Esquema de salida

{'type': 'object', 'additionalProperties': True}

screen_land_market

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 â 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.

Esquema de entrada

{'type': 'object', 'required': ['state', 'county'], '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")'}}, 'additionalProperties': False}

Esquema de salida

{'type': 'object', 'additionalProperties': True}

screen_parcel_dd

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 â the #1 land deal-killer), title/liens, or zoning â those stay MANUAL, per-parcel checks via county records. A clean screen here is necessary, NOT sufficient.

Esquema de entrada

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

Esquema de salida

{'type': 'object', 'additionalProperties': True}

Añadido

                            export_dcf_excel
                        

17 de September de 2026 a las 12:53

Añadido

                            generate_deal_memo
                        

17 de September de 2026 a las 12:53

Añadido

                            build_dcf_model
                        

17 de September de 2026 a las 12:53

Añadido

                            flag_lease_risks
                        

17 de September de 2026 a las 12:53

Añadido

                            abstract_lease
                        

17 de September de 2026 a las 12:53

Añadido

                            analyze_rent_roll
                        

17 de September de 2026 a las 12:53

Añadido

                            get_cre_market_data
                        

17 de September de 2026 a las 12:53

Añadido

                            get_inflation_data
                        

17 de September de 2026 a las 12:53

Añadido

                            screen_parcel_dd
                        

17 de September de 2026 a las 12:53

Añadido

                            screen_land_market
                        

17 de September de 2026 a las 12:53

Añadido

                            get_radius_demographics
                        

17 de September de 2026 a las 12:53

Añadido

                            get_market_demographics
                        

17 de September de 2026 a las 12:53

Añadido

                            get_current_rates
                        

17 de September de 2026 a las 12:53

Detalles del servidor

Versión

1.1.0

Transporte

Streamable HTTP

Herramientas

Latencia

1109 ms

Último escaneo

1 de October de 2026 a las 02:50

Detectado por primera vez

13 de September de 2026 a las 02:16

Endpoint

https://cre-intelligence-mcp.onrender.com/mcp

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CRE Intelligence

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