Search / io.github.Zwondra/cre-intelligence-mcp
protogridR0· no sign-inLive CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos.
v1.1.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"cre-intelligence-mcp": {
"type": "http",
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
}claude mcp add --transport http cre-intelligence-mcp https://cre-intelligence-mcp.onrender.com/mcp[mcp_servers.cre-intelligence-mcp]
url = "https://cre-intelligence-mcp.onrender.com/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"cre-intelligence-mcp": {
"type": "remote",
"url": "https://cre-intelligence-mcp.onrender.com/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"cre-intelligence-mcp": {
"type": "http",
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=cre-intelligence-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY3JlLWludGVsbGlnZW5jZS1tY3Aub25yZW5kZXIuY29tL21jcCJ9"
}{
"servers": {
"cre-intelligence-mcp": {
"type": "http",
"url": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
}{
"mcpServers": {
"cre-intelligence-mcp": {
"httpUrl": "https://cre-intelligence-mcp.onrender.com/mcp"
}
}
}extensions:
"cre-intelligence-mcp":
enabled: true
name: "cre-intelligence-mcp"
type: streamable_http
uri: "https://cre-intelligence-mcp.onrender.com/mcp"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky onestools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: flag_lease_risks (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_deal_memo (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); screen_parcel_dd (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …tools.token_costabout 2,303 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-132d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://cre-intelligence-mcp.onrender.com/mcp streamable-http | none | yes | 100% | 261 ms | 2025-11-25 | 2026-10-20 |
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_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_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. |
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_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_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. |
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. |
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. |
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_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. |
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. |
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. |
Schemas: list_tools.
{
"name": "io.github.Zwondra/cre-intelligence-mcp",
"title": "CRE Intelligence",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://cre-intelligence-mcp.onrender.com/mcp",
"type": "streamable-http"
}
],
"version": "1.1.0",
"repository": {
"url": "https://github.com/Zwondra/cre-intelligence-mcp",
"source": "github"
},
"websiteUrl": "https://cre-intelligence-mcp.vercel.app",
"description": "Live CRE analysis: Federal Reserve rates, Census 1/3/5-mile demographics, DCF models, IC memos."
}