Mmcp.market

TerraVue MCP server

by terravue.app·app.terravue/terravue·v1.0.0

Analyze any US home: buy vs rent Monte Carlo, affordability, and ZIP-level appreciation data.

C60/100grade C
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C60/100

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If you have run it, two minutes of your experience saves the next person an afternoon.

TerraVue tools (6, 1 write)

write = sends, deletes, buys or posts
  • affordabilityFree

    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 Comfortable / Qualifiable-tight / Stretch verdict. monthly_debts = recurring debt obligations a lender counts (car, student loan, minimum credit-card) — NOT living costs; this feeds DTI. monthly_expenses = living costs (food, utilities, childcare) used ONLY for the 'left over each month' life check, never DTI. Pass `address` to ground property tax + insurance in the ZIP's real rates. Pass `liquid_savings` to get the post-closing cash cushion (months of payment covered).

  • affordable_priceFree

    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 (default 36% = housing + other debts / gross income). If `liquid_savings` is given, also caps by the cash available for down payment + closing and reports which limit binds. Returns the affordable price, the PITI and DTIs at that price, and the cash to close. Pass `address` to ground property tax + insurance in the ZIP's real rates. This is a lender-limit ceiling, not a comfort recommendation — feed the result into `affordability` (or buy_vs_rent) to check monthly slack and whether buying pencils.

  • analyze_addressFree

    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 `nbhd*` fields describing the specific census tract - how its prices, incomes and build era compare to the rest of the ZIP. That is POSITION, not a neighborhood forecast; see _units. property_type: sfr | condo | townhome | multi

  • buy_vs_rentwrite actionFree

    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 person would pay to rent THE SAME HOME to live in — an owner-occupant buy-vs-rent decision, NOT rental income they'd collect as a landlord (this tool does not model rental cash flow; that lens lives on terravue.app). A rent far out of line with home_price is almost certainly a misunderstanding — confirm it before trusting the verdict. If `address` is given, the ZIP's real appreciation forecast and regional tax/insurance defaults are used (explicit parameters still win).

  • compare_areasFree

    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 never guessed or mislabeled. Use for "which areas have the best appreciation / schools / upside." TerraVue has no listing inventory and cannot discover ZIPs on its own — to scan a metro, pass that metro's ZIP codes (the ranking then covers exactly what you passed).

  • request_capabilityFree

    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 `description` to the capability needed — no names, emails, or other personal details. category: rental_metrics | str_airbnb | valuation | move_vs_stay | data_coverage | other

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

1 high1 low
  • Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 823ms20/20
  • Tool poisoning6 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 1 write-action tools with no auth3/15
  • Maintenanceno repository listed3/15
  • Maintainer identityverified namespace with website, no repo4/10

Findings (2)

  • highWrite-action tools reachable without authenticationauth.open-write
  • lowNo source repository listedmaint.no-repo
Overall 60/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install directly

claude mcp add --transport http terravue https://api.terravue.app/mcp
Add to Cursor

TerraVue: common questions

Is TerraVue MCP server safe?
With care: it is graded C, so read the findings first (60/100). Read the TerraVue safety report
How do I install TerraVue?
It runs remotely at api.terravue.app. Add it to Claude Code, Claude Desktop or Cursor with the snippets above, or call it through the mcp.market gateway without installing anything.
Does TerraVue need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is TerraVue maintained?
The latest release is v1.0.0.
Is TerraVue up?
100% of our last 2 checks got an answer. We check remote servers about four times a day.

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