CRE Intelligence
REMOTE · CRE-INTELLIGENCE-MCP.ONRENDER.COM · SCANNED SEP 20
Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability75
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1724 tokens (~132/item across 13 items; 13 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the CRE Intelligence MCP server?
CRE Intelligence is a hosted endpoint at https://cre-intelligence-mcp.onrender.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · cre-intelligence-mcp.onrender.com
claude mcp add --transport http zwondra-cre-intelligence-mcp 'https://cre-intelligence-mcp.onrender.com/mcp'
{
"mcpServers": {
"zwondra-cre-intelligence-mcp": {
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
} {
"servers": {
"zwondra-cre-intelligence-mcp": {
"type": "http",
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
} [mcp_servers.zwondra-cre-intelligence-mcp] url = "https://cre-intelligence-mcp.onrender.com/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"zwondra-cre-intelligence-mcp": {
"type": "remote",
"url": "https://cre-intelligence-mcp.onrender.com/mcp",
"enabled": true
}
}
} openclaw mcp add zwondra-cre-intelligence-mcp --url 'https://cre-intelligence-mcp.onrender.com/mcp' --transport streamable-http
mcp_servers:
zwondra-cre-intelligence-mcp:
url: "https://cre-intelligence-mcp.onrender.com/mcp" {
"McpServers": {
"zwondra-cre-intelligence-mcp": {
"Transport": "http",
"Url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
} assistant mcp add zwondra-cre-intelligence-mcp -t streamable-http -u 'https://cre-intelligence-mcp.onrender.com/mcp'
{
"mcpServers": {
"zwondra-cre-intelligence-mcp": {
"type": "http",
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 +1
- Stability: 0.97 → pass security
- 23 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 7 Aug 26 0
- The server no longer declares the “experimental” capability functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Probed https://cre-intelligence-mcp.onrender.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=onrender.com | CN=WE1,O=Google Trust Services,C=US | 24 Jul 2026 | 22 Oct 2026 | ECDSA 256 | ECDSA-SHA256 | 756bcb97dcf1455f0ebf70e5dbe07256 |
| SANs: onrender.com, *.onrender.com | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of cre-intelligence-mcp.onrender.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| onrender.com. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://cre-intelligence-mcp.onrender.com/mcp | Verified | 200 | |
| http (plaintext) | http://cre-intelligence-mcp.onrender.com/mcp | HTTPS enforced | 301 | https://cre-intelligence-mcp.onrender.com/mcp |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
abstract_lease ~68
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.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | Raw text copied from a commercial lease PDF |
Structured output declared, but exposes no named fields.
No examples provided.
analyze_rent_roll ~86
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.
| Name | Type | Req | Description |
|---|---|---|---|
| property_name | – | – | Optional property name for context |
| text | string | yes | Raw text copied from a rent roll PDF |
Structured output declared, but exposes no named fields.
No examples provided.
build_dcf_model ~211
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.
| Name | Type | Req | Description |
|---|---|---|---|
| amortization_years | integer | – | Loan amortization period (default 30 years) |
| equity_pct | number | – | Equity as % of purchase price (default 35%) |
| exit_cap_rate | – | – | Exit cap rate % — if None, uses entry cap + 25bps (conservative) |
| hold_years | integer | – | Hold period in years (default 10) |
| loan_rate | – | – | Loan interest rate % — if None, fetches live SOFR + 175bps |
| noi_growth_rate | number | – | Annual NOI growth rate % (default 3.0) |
| noi_year1 | number | yes | Year 1 Net Operating Income ($) |
| purchase_price | number | yes | Acquisition price ($) |
Structured output declared, but exposes no named fields.
No examples provided.
export_dcf_excel ~227
Generate a downloadable Excel (.xlsx) underwriting model with LIVE formulas — editable assumptions, PMT/FV amortization, IRR, equity multiple, a sensitivity grid, live Fed rates, and (if an address is given) Census trade-area demographics. Returns a download link valid for 60 minutes.
| Name | Type | Req | Description |
|---|---|---|---|
| address | – | – | Optional property address — adds a demographics sheet |
| amortization_years | integer | – | Amortization (default 30) |
| equity_pct | number | – | Equity as % of price (default 35) |
| exit_cap_rate | – | – | Exit cap % — default entry cap + 25bps |
| hold_years | integer | – | Hold period (default 10) |
| loan_rate | – | – | Loan rate % — default live SOFR + 175bps |
| noi_growth_rate | number | – | Annual NOI growth % (default 3.0) |
| noi_year1 | number | yes | Year 1 Net Operating Income ($) |
| property_name | – | – | Optional label for the model header |
| purchase_price | number | yes | Acquisition price ($) |
Structured output declared, but exposes no named fields.
No examples provided.
flag_lease_risks ~68
Analyze a parsed rent roll for investment risks. Feed the output from analyze_rent_roll directly into this tool. Returns: rollover risk, tenant concentration, credit risk, and actionable recommendations.
| Name | Type | Req | Description |
|---|---|---|---|
| rent_roll_json | string | yes | JSON string from the analyze_rent_roll tool output |
Structured output declared, but exposes no named fields.
No examples provided.
generate_deal_memo ~136
Generate a formatted CRE acquisition memo / Investment Committee memo. Automatically pulls live rates from FRED and demographics from Census Bureau to provide real market context — not guesses.
| Name | Type | Req | Description |
|---|---|---|---|
| additional_context | – | – | Any additional deal notes, seller info, market color |
| asking_price | number | yes | Asking price ($) |
| noi | number | yes | Net Operating Income ($) |
| property_address | string | yes | Full property address |
| property_type | string | yes | Multifamily / Office / Retail / Industrial / Mixed-Use |
| rent_roll_summary | – | – | Optional: paste output from analyze_rent_roll or flag_lease_risks |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_cre_market_data ~54
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.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
get_current_rates ~83
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.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
get_inflation_data ~56
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.
Input schema present but exposes no named parameters.
Structured output declared, but exposes no named fields.
No examples provided.
get_market_demographics ~111
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.
| Name | Type | Req | Description |
|---|---|---|---|
| address | string | yes | Full US property address (e.g. "1234 Main St, Charlotte, NC 28202") |
Structured output declared, but exposes no named fields.
No examples provided.
get_radius_demographics ~160
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.
| Name | Type | Req | Description |
|---|---|---|---|
| address | string | yes | Full US property address (e.g. "1234 Main St, Charlotte, NC 28202") |
| radii_miles | string | – | Comma-separated radii in miles (default "1,3,5", each capped at 15) |
Structured output declared, but exposes no named fields.
No examples provided.
screen_land_market ~177
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.
| Name | Type | Req | Description |
|---|---|---|---|
| county | string | yes | County name (e.g. "Mohave" or "Mohave County") |
| state | string | yes | 2-letter state abbreviation (e.g. "AZ") or 2-digit state FIPS |
Structured output declared, but exposes no named fields.
No examples provided.
screen_parcel_dd ~167
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.
| Name | Type | Req | Description |
|---|---|---|---|
| lat | number | yes | Parcel latitude (decimal degrees) |
| lng | number | yes | Parcel longitude (decimal degrees) |
Structured output declared, but exposes no named fields.
No examples provided.
What is the CRE Intelligence MCP server?
CRE Intelligence is an MCP server listed in the public MCP registry as io.github.Zwondra/cre-intelligence-mcp. Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos. This page covers its hosted endpoint (https://cre-intelligence-mcp.onrender.com/mcp).
Is the CRE Intelligence MCP server safe to use?
CRE Intelligence scores 78 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the CRE Intelligence MCP server expose?
CRE Intelligence exposes 13 tools: get_current_rates, get_market_demographics, get_radius_demographics, screen_land_market, screen_parcel_dd, and 8 more. Their descriptions and schemas cost roughly 1,604 tokens of context every time the server is loaded.
Does the CRE Intelligence MCP server require authentication?
No. We connected to CRE Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the CRE Intelligence MCP server still maintained?
CRE Intelligence is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.