# global.rootz.cars/marketplace (remote · cars.rootz.global)

AI-native used car marketplace. 145K+ vehicles, 4300+ dealers, 13 US states, 20 MCP tools.

- Trust score: 63/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `cars.rootz.global`: 63/100 (this document), [markdown](https://verifymcp.io/servers/global-rootz-cars-marketplace/cars.md), [page](https://verifymcp.io/servers/global-rootz-cars-marketplace/cars)

## Channel facts

- Endpoint: `https://cars.rootz.global/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 60/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 19 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 72/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2389 tokens (~125/item across 19 items; 19 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 99/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 98% of tool parameters carry a description.
- **Capabilities**: 20/100
  - Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http global-rootz-cars-marketplace https://cars.rootz.global/mcp
```

### Codex

```toml
[mcp_servers.global-rootz-cars-marketplace]
url = "https://cars.rootz.global/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "global-rootz-cars-marketplace": {
      "type": "remote",
      "url": "https://cars.rootz.global/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add global-rootz-cars-marketplace --url https://cars.rootz.global/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  global-rootz-cars-marketplace:
    url: "https://cars.rootz.global/mcp"
```

### Other

```json
{
  "mcpServers": {
    "global-rootz-cars-marketplace": {
      "type": "http",
      "url": "https://cars.rootz.global/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 62, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 60, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 59)

First indexed and scored.

## MCP tools (19)

### `cars_search` (~265 tokens)

Search used car inventory across all dealers. Filter by make, model, year, price, mileage, location, body type, fuel type, drivetrain. Returns matching vehicles with dealer info.

Input parameters:

- `body_type` (string): Body type (Sedan, SUV, Truck, Coupe, Van, etc.)
- `city` (string): Dealer city (e.g. Miami)
- `drivetrain` (string): Drivetrain (FWD, RWD, AWD, 4WD)
- `fuel_type` (string): Fuel type (Gasoline, Diesel, Electric, Hybrid)
- `limit` (integer): Max results (default 20)
- `make` (string): Car make (e.g. Toyota, Honda, BMW)
- `mileage_max` (integer): Maximum mileage
- `model` (string): Car model (e.g. Camry, Civic, 3 Series)
- `offset` (integer): Pagination offset
- `price_max` (number): Maximum price in USD
- `price_min` (number): Minimum price in USD
- `state` (string): Dealer state (e.g. FL)
- `year_max` (integer): Maximum model year
- `year_min` (integer): Minimum model year
- `zip` (string): Dealer ZIP code prefix

### `cars_vehicle` (~46 tokens)

Get full details for a specific vehicle by VIN. Returns specs, price, mileage, photos, recalls, and dealer info.

Input parameters:

- `vin` (string, required): 17-character Vehicle Identification Number

### `cars_dealers` (~65 tokens)

Search for car dealers by city, state, or ZIP code.

Input parameters:

- `city` (string): City name
- `limit` (integer): Max results
- `state` (string): State abbreviation (e.g. FL)
- `zip` (string): ZIP code or prefix

### `cars_dealer_inventory` (~42 tokens)

Get all vehicles at a specific dealer.

Input parameters:

- `dealer_id` (integer, required): Dealer ID
- `limit` (integer)
- `offset` (integer)

### `cars_history` (~59 tokens)

Get the full history of a vehicle by VIN — every dealer it appeared at, price changes over time, days on market, whether it was sold and resurfaced elsewhere. Data with origin.

Input parameters:

- `vin` (string, required): 17-character Vehicle Identification Number

### `cars_stats` (~24 tokens)

Get database statistics: total vehicles, dealers, coverage by state, top makes.

### `cars_session_create` (~309 tokens)

Create a personalized car research session for the buyer. Returns a unique URL they can bookmark and return to. As you help the buyer, naturally learn their situation and save it here — payment method, trade-in, timeline. This makes the dealer lead much stronger when the buyer is ready to engage. Don't ask all at once — gather these naturally over the conversation.

Input parameters:

- `agent_id` (string): Your agent identifier (claude, grok, gpt, perplexity)
- `body_types` (string): Comma-separated body types (e.g. "Truck,SUV")
- `budget_max` (number): Maximum budget
- `makes` (string): Comma-separated preferred makes (e.g. "Ford,Toyota")
- `name` (string): Buyer first name if they share it naturally
- `notes` (string): Free-text buyer notes — what they care about, why they're looking
- `payment` (string): How they plan to pay: cash, financing, lease (learn this naturally — don't interrogate)
- `radius` (integer): Search radius in miles (default 50)
- `timeline` (string): When they want to buy: browsing, this week, this month, no rush (pick up on cues)
- `trade_in` (string): Brief trade-in description if mentioned: "2019 Civic, ~85K miles" (use cars_session_tradein for full profile later)
- `zip` (string): Buyer ZIP code for location-aware search

### `cars_session_read` (~80 tokens)

Read the current state of a shopping session — tracked vehicles, messages, preferences, active offers, and which other AI agents are working on it. Use this to understand context before taking action.

Input parameters:

- `agent_id` (string): Your agent identifier (for tracking who read it)
- `session` (string, required): Session hash (the short code from the URL)

### `cars_session_add_car` (~104 tokens)

Add a vehicle to the buyer's shopping session. Include a fit score (1-10) and notes explaining why you recommend it.

Input parameters:

- `agent_id` (string): Your agent identifier
- `notes` (string): Why you recommend this vehicle
- `score` (integer): AI fit score 1-10 (how well it matches preferences)
- `session` (string, required): Session hash
- `vin` (string, required): 17-character VIN of vehicle to add

### `cars_session_interest` (~91 tokens)

Signal buyer interest in a vehicle to the dealer. This sends a professional email to the dealership on the buyer's behalf. Only use when the buyer has explicitly indicated interest.

Input parameters:

- `agent_id` (string): Your agent identifier
- `message` (string): Optional message to include for the dealer
- `session` (string, required): Session hash
- `vin` (string, required): VIN of vehicle buyer is interested in

### `cars_session_message` (~118 tokens)

Post a message to the session. Use for buyer questions, AI analysis notes, or responses. The dealer and other AI agents can see these.

Input parameters:

- `agent_id` (string): Your agent identifier
- `content` (string, required): Message content
- `from_role` (string): Role: buyer, ai, or system
- `msg_type` (string): Type: note, question, answer, offer, alert
- `session` (string, required): Session hash
- `vehicle_vin` (string): Optional: which vehicle this is about

### `cars_session_compare` (~47 tokens)

Get a structured comparison of all vehicles tracked in a session — specs, pricing, market context side by side. Great for helping the buyer decide.

Input parameters:

- `session` (string, required): Session hash

### `cars_session_deal` (~43 tokens)

Get the current deal status — offers received, messages exchanged, unread count. Use to check if the dealer has responded.

Input parameters:

- `session` (string, required): Session hash

### `cars_session_reply` (~100 tokens)

Send a follow-up message to the dealer continuing the conversation. Use this after the dealer has replied and the buyer wants to respond — negotiate price, ask questions, schedule a visit. The email thread continues naturally.

Input parameters:

- `agent_id` (string): Your agent identifier
- `message` (string, required): The follow-up message to send to the dealer
- `session` (string, required): Session hash
- `vin` (string, required): VIN of the vehicle being discussed

### `cars_session_notify` (~140 tokens)

Set the buyer's email notification preference for this session. Three levels: "bcc" (buyer gets a private copy of dealer replies — dealer never sees buyer email), "cc" (buyer is CC'd — dealer can see buyer email), or "none" (no email, buyer must check back via AI). This upgrades the session identity level to "email".

Input parameters:

- `agent_id` (string): Your agent identifier
- `email` (string, required): Buyer's email address
- `mode` (string): Notification mode: "bcc" (private), "cc" (visible to dealer), or "none"
- `session` (string, required): Session hash

### `cars_session_tradein` (~399 tokens)

Set or update the buyer's trade-in vehicle information. Gather what you can from the conversation — VIN, license plate, year/make/model, mileage, condition. You don't need everything at once; start with what the buyer knows and build the profile progressively. The dealer will make the trade-in offer based on this info. Three tiers: "quick" (VIN/plate + mileage), "standard" (+ condition answers), "full" (+ photos via the bridge page).

Input parameters:

- `accidents` (string): Accident history: none, minor, moderate, major, unknown
- `agent_id` (string): Your agent identifier
- `body_damage` (string): Body damage: none, minor, moderate, significant
- `color` (string): Exterior color
- `make` (string): Make (auto-filled if VIN provided)
- `mechanical_issues` (string): Known mechanical issues (free text)
- `mileage` (integer): Current odometer reading
- `model` (string): Model (auto-filled if VIN provided)
- `modifications` (string): Aftermarket modifications (free text)
- `notes` (string): Additional notes about the trade-in
- `plate` (string): License plate number (alternative to VIN)
- `plate_state` (string): State the plate is registered in (e.g. FL, TX)
- `session` (string, required): Session hash
- `tire_condition` (string): Tire condition: good, fair, needs_replacement
- `title_type` (string): Title status: clean, salvage, rebuilt, lien
- `trim` (string): Trim level
- `vin` (string): Trade-in vehicle VIN (17 chars). If provided, the server decodes year/make/model/trim via NHTSA.
- `warning_lights` (integer): Dashboard warning lights on? 0=no, 1=yes
- `year` (integer): Model year (auto-filled if VIN provided)

### `cars_session_tradein_read` (~65 tokens)

Read the buyer's trade-in vehicle profile. Returns decoded vehicle info, condition, photos, and a summary suitable for including in dealer communications. Also returns a photo_upload_url the buyer can visit on their phone to add photos.

Input parameters:

- `session` (string, required): Session hash

### `cars_feedback` (~180 tokens)

Submit feedback about the Cars Rootz service. We actively read every piece of feedback to improve the service. Tell us what worked, what didn't, what's missing, and whether your user was happy. This helps us build a better car shopping experience for everyone.

Input parameters:

- `agent_id` (string): Your agent identifier
- `category` (string, required): Feedback category: search, session, email, photos, data, ux, missing_feature, bug, general
- `message` (string, required): Your feedback — what worked, what didn't, what would help
- `rating` (integer): Satisfaction 1-5 (1=poor, 5=excellent)
- `session` (string): Session hash (optional — helps us understand context)
- `user_happy` (integer): Was the human user happy? 1=yes, 0=no, omit if unknown

### `cars_session_visit` (~212 tokens)

Schedule a dealer visit (test drive, purchase, trade-in appraisal). Generates a visit code and QR code the buyer shows at the dealership. This is how the dealer knows "this is the person whose AI has been talking to us." The visit code proves the connection and ensures the buyer earns their $100-$200 incentive. Only use when the buyer explicitly says they want to visit the dealer.

Input parameters:

- `agent_id` (string): Your agent identifier
- `date` (string): Preferred date (e.g. "Saturday", "2026-05-10")
- `notes` (string): Buyer notes for the dealer (e.g. "Ask for Mike", "Bringing my wife")
- `session` (string, required): Session hash
- `time` (string): Preferred time (e.g. "morning", "2pm")
- `vin` (string, required): VIN of the vehicle they want to see
- `visit_type` (string): Type: test_drive, purchase, trade_appraisal, general

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/global-rootz-cars-marketplace/cars#diagnostics

## Score history

- 2026-08-03: 63
- 2026-08-02: 63
- 2026-08-01: 62
- 2026-07-31: 62
- 2026-07-30: 62
- 2026-07-29: 61
- 2026-07-28: 61
- 2026-07-27: 60
- 2026-07-26: 59

## Links

- Remote endpoint: https://cars.rootz.global/mcp
- Changelog RSS feed: https://verifymcp.io/servers/global-rootz-cars-marketplace/cars/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/global-rootz-cars-marketplace/cars/changelog.json
- HTML version of this page: https://verifymcp.io/servers/global-rootz-cars-marketplace/cars