# Zwondra Cre Intelligence MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.zwondra%2Fcre-intelligence-mcp
Registry id: `mcp-registry/io.github.zwondra/cre-intelligence-mcp`
Status: live (checked 2026-10-27T14:14:04.463Z)

## Verdict

Zwondra Cre Intelligence MCP server answered 99.96% of Glimind's liveness checks over 30 days, better than 35% of MCP servers, with 597 ms median handshake and 6 outages in 90 days. Its agent-readiness grade is A (90/100) across 13 tools, costing an agent about 2,681 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.96% | 35% of MCP servers |
| Median handshake latency | 597 ms | 36% of MCP servers |
| p95 handshake latency | 2825 ms | — |
| Checks in 30 days | 5,009 | — |
| Outages, 90 days | 6 | — |
| Median recovery | 2 min | — |
| Agent-readiness score | 90/100 (A) | 69% of MCP servers |
| Tools | 13 | — |
| Tool-list size for an agent | ~2,681 tokens | 48% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "zwondra-cre-intelligence-mcp-server": {
      "type": "http",
      "url": "https://cre-intelligence-mcp.onrender.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http zwondra-cre-intelligence-mcp-server https://cre-intelligence-mcp.onrender.com/mcp
```

## Tools (13)

- `abstract_lease`: Extract all key terms from a commercial lease document. Returns term, base rent schedule, escalations, TI allowance, CAM structure, renewal options, termination
- `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 tena
- `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 flo
- `export_dcf_excel`: Generate a downloadable Excel (.xlsx) underwriting model with LIVE formulas — editable assumptions, PMT/FV amortization, IRR, equity multiple, a sensitivity gri
- `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, c
- `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 r
- `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
- `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 calculat
- `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
- `get_market_demographics`: Get Census Bureau demographics for any US property address. Returns median income, population, employment rate, housing vacancy, median rents, and education lev
- `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. Aggregat
- `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 res
- `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 Haz

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.