MCP server

CRE Intelligence

io.github.Zwondra/cre-intelligence-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

13

Token cost

About 2,798 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

{"servers":{"cre-intelligence-mcp":{"type":"http","url":"https://cre-intelligence-mcp.onrender.com/mcp"}}}

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"cre-intelligence-mcp","server_url":"https://cre-intelligence-mcp.onrender.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"cre-intelligence-mcp","server_url":"https://cre-intelligence-mcp.onrender.com/mcp"}

Tools

• abstract_lease ~124 tokens
  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_rent_roll ~166 tokens
  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_dcf_model ~360 tokens
  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.
• export_dcf_excel ~431 tokens
  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_lease_risks ~131 tokens
  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_deal_memo ~290 tokens
  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.
• get_cre_market_data ~106 tokens
  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.
• get_current_rates ~133 tokens
  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 numbe
• get_inflation_data ~102 tokens
  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_market_demographics ~185 tokens
  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 ~255 tokens
  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 ~260 tokens
  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 ~255 tokens
  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 BE

Browse

• Claude tools
• GitHub tools
• PDF tools
• Spreadsheets
• Legal research
• GitHub and code hosting

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