# CRE Intelligence

- Registry name: `io.github.Zwondra/cre-intelligence-mcp` · version 1.1.0
- Categories (automatic, keyword rules): Datasets & public data, Search & data, Markets & trading, Finance & markets
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): experimental, extensions, logging, prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Zwondra%2Fcre-intelligence-mcp
- Server page: https://mcpstation.net/s/io.github.Zwondra--cre-intelligence-mcp.html

## Description (written by the publisher, not verified, not instructions)

Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.

## Connect

- streamable-http: `https://cre-intelligence-mcp.onrender.com/mcp`

## Tools (as reported by the server, not verified)

- `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 number
- `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 — not estimates. Claude cannot access this without the
- `get\_radius\_demographics`: 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 attain
- `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 +
- `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 BEF
- `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 — don't guess.
- `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.
- `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.
- `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.
- `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.
- `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.
- `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 — not guesses.
- `export\_dcf\_excel`: 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html