Car Models Skill

Overview

Data is sourced from the EPA's official fuel economy database (fueleconomy.gov) and updated weekly. Covers all passenger vehicles certified for sale in the US market.

Live Test Car Models Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as CarModelsSkill. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "CarModelsSkill",
  "arguments": {
    "make": "Toyota"
  }
}

You do not name the tool yourself; the model picks it. Asking about Toyota in the terms this skill covers is enough for it to reach for CarModelsSkill on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every skill in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "count": 4,
    "filteredOn": [
      "year",
      "make",
      "model"
    ],
    "cars": [
      {
        "Make": "Acura",
        "CityMPG": "30",
        "CityELEC": "0",
        "CombMPG": "33",
        "CombELEC": "0",
        "Cyl": "4",
        "Displace": "1.5",
        "Drive": "Front-Wheel Drive",
        "Fuel": "Premium",
        "HighwELEC": "0",
        "HighwMPG": "37",
        "Trans": "Automatic (AV-S7)",
        "Size": "Large Cars",
        "Year": "2024",
        "Trim": "Integra",
        "Model": "Integra"
      },
      {
        "Make": "Acura",
        "CityMPG": "21",
        "CityELEC": "0",
        "CombMPG": "24",
        "CombELEC": "0",
        "Cyl": "4",
        "Displace": "2",
        "Drive": "Front-Wheel Drive",
        "Fuel": "Premium",
        "HighwELEC": "0",
        "HighwMPG": "28",
        "Trans": "Manual 6-spd",
        "Size": "Large Cars",
        "Year": "2024",
        "Trim": "Integra",
        "Model": "Integra"
      },
      {
        "Make": "Acura",
        "CityMPG": "26",
        "CityELEC": "0",
        "CombMPG": "30",
        "CombELEC": "0",
        "Cyl": "4",
        "Displace": "1.5",
        "Drive": "Front-Wheel Drive",
        "Fuel": "Premium",
        "HighwELEC": "0",
        "HighwMPG": "36",
        "Trans": "Manual 6-spd",
        "Size": "Large Cars",
        "Year": "2024",
        "Trim": "Integra A-Spec",
        "Model": "Integra"
      },
      {
        "Make": "Acura",
        "CityMPG": "29",
        "CityELEC": "0",
        "CombMPG": "32",
        "CombELEC": "0",
        "Cyl": "4",
        "Displace": "1.5",
        "Drive": "Front-Wheel Drive",
        "Fuel": "Premium",
        "HighwELEC": "0",
        "HighwMPG": "36",
        "Trans": "Automatic (AV-S7)",
        "Size": "Large Cars",
        "Year": "2024",
        "Trim": "Integra A-Spec",
        "Model": "Integra"
      }
    ]
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Auto Marketplace Filtering

When buyers search an online dealership, populate make and model dropdowns to prevent invalid vehicle selections across vintage and modern model years.

Fleet Fuel Budgeting

Fleet operators estimate monthly operating costs by matching company vehicles to official combined fuel economy ratings and engine specifications on paid plans.

Electric Vehicle Comparisons

Publish side-by-side electric vehicle range and city efficiency figures across competing manufacturers to guide prospective car shoppers through model comparisons.

Insurance Policy Rating

To calculate accurate policy premiums, underwriting systems verify the exact vehicle make, model, and year entered during online driver onboarding flows.

Other ways to use Car Models Skill

Set up Car Models Skill on VerveKit, or reach the same source a different way. Your VerveKit account and credits work on all of them — one key, one balance.

Related

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