app.terravue/terravue · v1.0.0 · finance-and-payments
TerraVue is healthy: it completed an MCP handshake in 2603 ms and exposes 6 tools.
Analyze any US home: buy vs rent Monte Carlo, affordability, and ZIP-level appreciation data.
Endpoint: https://api.terravue.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 2603 ms |
| Last checked (UTC) | 2026-10-15T17:40:14.641Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T17:40:14.641Z | Healthy | 2603 | |
| 2026-10-14T16:55:40.091Z | Healthy | 5073 |
analyze_address | Look up a US address (or bare 5-digit ZIP): ZIP-level home-price appreciation forecast (FHFA data back to 1975), estimated market rent, and neighborhood signals (schools, walkability, water quality, grocery/dining/outdoors proximity). For a full street address this also returns sub-ZIP |
request_capability | Record a question TerraVue could not answer, so it can be built. Call this whenever a user asks for something outside the current tools' coverage (rental metrics, Airbnb modeling, valuations, move-vs-stay, non-US, anything else), then tell the user their request was captured. Keep `descr |
buy_vs_rent | Should someone buy this home or keep renting? Runs the TerraVue engine: a deterministic 30-year simulation plus a 500-scenario Monte Carlo over correlated market paths. Returns the probability buying wins, the breakeven hold period, and net-worth outcomes. monthly_rent = what the pe |
affordability | Can this buyer afford this home? Returns the monthly PITI payment, front-end and back-end debt-to-income ratios (what a lender qualifies on), the income needed at a 28% front-end ratio, estimated after-tax money left over each month, the cash cushion left after closing, and a plain Comfo |
compare_areas | Analyze and RANK 2-12 ZIPs or addresses side by side on the signals TerraVue has: home-price appreciation forecast (and how each compares to the national average), school rating, walkability, education level, and water quality. Returns the correct city name per ZIP, so locations are neve |
affordable_price | What's the most this buyer can afford? The reverse of `affordability` — 'what price can I afford?' instead of 'can I afford this specific home?'. Solves for the maximum home price under standard lender limits: a front-end DTI cap (default 28% = housing / gross income) and a back-end cap |