CRE Intelligence MCP Server

by zwondra Your server? Claim it

answering

CRE Intelligence is answering right now. Last checked moments ago. It exposes 13 tools. Last commit 15 Jun 2026.

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

Uptime history 48 days of history · worst day 99%

48 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

265 ms

Response time

average over 24h

Stars

last commit 15 Jun 2026

Nothing serious here today

Today is the operative word: we check CRE Intelligence every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 0 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add cre-intelligence-mcp --transport http https://cre-intelligence-mcp.onrender.com/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "cre-intelligence-mcp": {
      "url": "https://cre-intelligence-mcp.onrender.com/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.cre-intelligence-mcp]
url = "https://cre-intelligence-mcp.onrender.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "cre-intelligence-mcp": {
      "url": "https://cre-intelligence-mcp.onrender.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "cre-intelligence-mcp": {
      "url": "https://cre-intelligence-mcp.onrender.com/mcp"
    }
  }
}

Available tools 13

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

screen

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 — 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.

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 — 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.

abstract

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.

analyze

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.

build

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.

cre

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.

current

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.

export

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.

flag

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.

generate

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.

inflation

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.

market

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 MCP. For 1/3/5-mile trade-area rings, use get_radius_demographics instead.

radius

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 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.

Endpoints

URL	Transport	State	Latency	Checked
https://cre-intelligence-mcp.onrender.com/mcp	streamable-http	answering	439 ms	0 min ago

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CRE Intelligence — questions

Answers built from our own checks of this server.

What can CRE Intelligence do?

It exposes 13 tools, read directly from the server on our last check. Among them: abstract_lease, analyze_rent_roll, build_dcf_model, export_dcf_excel, flag_lease_risks, generate_deal_memo and 7 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is CRE Intelligence working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 265 ms. The bar chart above shows every period we have measured.

How do I connect CRE Intelligence?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does CRE Intelligence need an API key?

No. CRE Intelligence completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 13 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is CRE Intelligence?

It answers our handshake in 265 ms on average, which is faster than 56% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is CRE Intelligence open source?

Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.