MCP.Market

CRE Intelligence MCP server

online · 100% uptime
by Zwondra·io.github.Zwondra/cre-intelligence-mcp·v1.1.0·1 stars
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Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.

B79/100grade B
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CRE Intelligence tools (13)

write = sends, deletes, buys or posts
  • abstract_leaseFree

    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_rollFree

    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_modelFree

    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_excelFree

    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_risksFree

    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_memoFree

    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_dataFree

    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_ratesFree

    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.

  • get_inflation_dataFree

    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_demographicsFree

    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.

  • get_radius_demographicsFree

    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.

  • screen_land_marketFree

    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_ddFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 242ms20/20
  • Tool poisoning13 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 103 days ago8/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 79/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How CRE Intelligence compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
79/100
higher than 58% of 48,255 servers
Tools
13
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
146 ms
faster than 74% of 30,031 servers
GitHub stars
1
more than 65% of 28,688 servers

What its tools let an agent do: 12 read · 1 create

Install CRE Intelligence in Claude Code, Cursor or VS Code

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

What the publisher says

From the CRE Intelligence repository's README, as published. We do not edit it. Read it on GitHub

CRE Intelligence MCP

Live market data for commercial real estate analysis — inside Claude.

Connect this MCP to Claude Desktop and instantly access Federal Reserve interest rates, Census Bureau demographics, DCF modeling, rent roll parsing, lease abstraction, and IC memo generation — all from a single prompt.

"Analyze this deal: 2201 South Blvd, Charlotte NC. NOI $400k, asking $6M, retail strip."

→ Pulls live SOFR from the Fed. Pulls Census demographics for that exact block. Builds a full levered 10-year DCF. Writes an institutional-quality IC memo. 30 seconds.

Why this exists

The #1 problem with AI in CRE: 66% of professionals use it daily, but only 5% trust it for actual deal decisions.

The reason? AI guesses at rates and demographics. A DCF built on a hallucinated SOFR rate is worthless.

This MCP fixes that. Every number comes from a verified public source:

  • Interest rates → Federal Reserve (FRED API)
  • Demographics → US Census Bureau ACS
  • Document analysis → Claude AI with structured output

Zero data licensing fees. Zero hallucinations on financial inputs.

Tools

Example output

Prompt: "Get me current interest rates"

SOFR:           3.63%   (June 8, 2026)
SOFR 30-day:    3.59%
10yr Treasury:  4.55%
5yr Treasury:   4.29%
Fed Funds:      3.63%

Implied cap rates (spread over 10yr T):
  Core Multifamily:  5.30% – 6.05%
  Core Industrial:   5.55% – 6.30%
  Core Office:       6.05% – 7.05%
  Value-Add:         6.05% – 7.05%

Loan rate guidance:
  Floating: SOFR + 150–250bps = ~5.38%–5.88%
  Fixed:    10yr T + 150–200bps = ~6.05%–6.55%

Prompt: "Analyze this deal: 2201 South Blvd Charlotte NC, NOI $400k, asking $6M, retail strip"

The MCP automatically chains getcurrentrates + getmarketdemographics + builddcfmodel + generatedealmemo and returns a full IC memo including:

Entry Cap Rate:   6.67%  (+212bps over 10yr Treasury)
Loan Rate:        5.38%  (derived from live SOFR 3.63% + 175bps)
Year 1 DSCR:      1.53x
IRR:              14.6%
Equity Multiple:  3.11x

Census Tract demographics (2023 ACS):
  Median HHI:       $141,419
  Employment rate:  97.2%
  College educated: 64.9%
  Vacancy rate:     8.6%

Recommendation: GO — subject to rent roll review and comp analysis.

Setup

Option A — Hosted (fastest, no API keys)

Add this to your claudedesktopconfig.json and restart Claude Desktop:

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

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

CRE Intelligence: common questions

Is CRE Intelligence MCP server safe?
Mostly: it is graded B (79/100). Read the CRE Intelligence safety report
How do I install CRE Intelligence?
It runs remotely at cre-intelligence-mcp.onrender.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does CRE Intelligence need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is CRE Intelligence maintained?
The last commit was 142 days ago (2026-06-15). The latest release is v1.1.0.
Is CRE Intelligence up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of CRE Intelligence?
Servers from other publishers that do the same job: Sem MCP server.
How does CRE Intelligence compare with other MCP servers?
safety score 79/100 (higher than 58% of 48,255 servers); tools 13 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to CRE Intelligence

Same job from other publishers: the closest match first, then the best rated.

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