_ registry / mcp streamable-http

terravue

https://api.terravue.app

Registry code: 4b8d45892c36358b

api record

TerraVue analyzes US residential property decisions with real data and

real simulation — never estimate or guess numbers yourself when a tool can compute them.

endpoint
https://api.terravue.app/mcp/
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
unknown
uptime
—
latency
—

last good check

priced tools
0

of 6 tools

_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 6 tools
6 never probed 0 of 6 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • analyze_address unknown never probed

    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

    mcp-tool

    {
  "type": "object",
  "title": "analyze_addressArguments",
  "required": [
    "address"
  ],
  "properties": {
    "address": {
      "type": "string",
      "title": "Address"
    },
    "bedrooms": {
      "type": "integer",
      "title": "Bedrooms",
      "default": 2
    },
    "property_type": {
      "type": "string",
      "title": "Property Type",
      "default": "sfr"
    }
  }
}
    arguments 23 lines
  • request_capability unknown never probed

    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

    mcp-tool

    {
  "type": "object",
  "title": "request_capabilityArguments",
  "required": [
    "description"
  ],
  "properties": {
    "category": {
      "type": "string",
      "title": "Category",
      "default": "other"
    },
    "description": {
      "type": "string",
      "title": "Description"
    }
  }
}
    arguments 18 lines
  • buy_vs_rent unknown never probed

    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).

    mcp-tool

    {
  "type": "object",
  "title": "buy_vs_rentArguments",
  "required": [
    "home_price",
    "monthly_rent"
  ],
  "properties": {
    "address": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Address",
      "default": null
    },
    "fixed_rate": {
      "type": "number",
      "title": "Fixed Rate",
      "default": 6.75
    },
    "home_price": {
      "type": "number",
      "title": "Home Price"
    },
    "hoa_monthly": {
      "type": "number",
      "title": "Hoa Monthly",
      "default": 0
    },
    "monthly_rent": {
      "type": "number",
      "title": "Monthly Rent"
    },
    "analysis_years": {
      "type": "integer",
      "title": "Analysis Years",
      "default": 30
    },
    "down_payment_pct": {
      "type": "number",
      "title": "Down Payment Pct",
      "default": 20
    },
    "property_tax_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Property Tax Rate",
      "default": null
    },
    "home_appreciation_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Home Appreciation Rate",
      "default": null
    },
    "investment_return_rate": {
      "type": "number",
      "title": "Investment Return Rate",
      "default": 9.5
    }
  }
}
    arguments 79 lines
  • affordability unknown never probed

    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).

    mcp-tool

    {
  "type": "object",
  "title": "affordabilityArguments",
  "required": [
    "home_price",
    "annual_income"
  ],
  "properties": {
    "address": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Address",
      "default": null
    },
    "fixed_rate": {
      "type": "number",
      "title": "Fixed Rate",
      "default": 6.75
    },
    "home_price": {
      "type": "number",
      "title": "Home Price"
    },
    "hoa_monthly": {
      "type": "number",
      "title": "Hoa Monthly",
      "default": 0
    },
    "annual_income": {
      "type": "number",
      "title": "Annual Income"
    },
    "monthly_debts": {
      "type": "number",
      "title": "Monthly Debts",
      "default": 0
    },
    "insurance_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Insurance Rate",
      "default": null
    },
    "liquid_savings": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Liquid Savings",
      "default": null
    },
    "down_payment_pct": {
      "type": "number",
      "title": "Down Payment Pct",
      "default": 20
    },
    "monthly_expenses": {
      "type": "number",
      "title": "Monthly Expenses",
      "default": 0
    },
    "marginal_tax_rate": {
      "type": "number",
      "title": "Marginal Tax Rate",
      "default": 24
    },
    "property_tax_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Property Tax Rate",
      "default": null
    }
  }
}
    arguments 96 lines
  • compare_areas unknown never probed

    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).

    mcp-tool

    {
  "type": "object",
  "title": "compare_areasArguments",
  "required": [
    "addresses"
  ],
  "properties": {
    "bedrooms": {
      "type": "integer",
      "title": "Bedrooms",
      "default": 2
    },
    "addresses": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Addresses"
    }
  }
}
    arguments 21 lines
  • affordable_price unknown never probed

    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.

    mcp-tool

    {
  "type": "object",
  "title": "affordable_priceArguments",
  "required": [
    "annual_income"
  ],
  "properties": {
    "address": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Address",
      "default": null
    },
    "fixed_rate": {
      "type": "number",
      "title": "Fixed Rate",
      "default": 6.75
    },
    "hoa_monthly": {
      "type": "number",
      "title": "Hoa Monthly",
      "default": 0
    },
    "annual_income": {
      "type": "number",
      "title": "Annual Income"
    },
    "monthly_debts": {
      "type": "number",
      "title": "Monthly Debts",
      "default": 0
    },
    "insurance_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Insurance Rate",
      "default": null
    },
    "liquid_savings": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Liquid Savings",
      "default": null
    },
    "back_end_dti_pct": {
      "type": "number",
      "title": "Back End Dti Pct",
      "default": 36
    },
    "down_payment_pct": {
      "type": "number",
      "title": "Down Payment Pct",
      "default": 20
    },
    "front_end_dti_pct": {
      "type": "number",
      "title": "Front End Dti Pct",
      "default": 28
    },
    "property_tax_rate": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "title": "Property Tax Rate",
      "default": null
    }
  }
}
    arguments 91 lines
_ try it through the hub, ceiling 0

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_ for your README measured, not declared

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_ how we know
card completeness
100%

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spec deviations
0

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_ record

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paid reviews
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.