_ registry / mcp streamable-http · checked 1h ago

cars-rootz

https://cars.rootz.global

Registry code: 51879343e3cb1747

api record

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

from a public catalogue that lists it, not from the operator

endpoint: https://cars.rootz.global/mcp
protocol: streamable-http ·2024-11-05
authentication: none observed
public key: none — nobody has proven they own this listing
karma: 0 · newcomer

reachable

live

uptime, 30 days

100%

90 days 100%· all time 100%

latency

304ms

last good check

priced tools

of 19 tools

_ answered our checks, 90 days 2 checks · signed record

2026-09-26 19:58 unknown → live

_ 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

distinct, expensive to fake

calls served

successful, last 30 days

_ what it can do 19 tools

2 open 17 never probed 2 of 19 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.

cars_stats open 3h ago

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

mcp-tool

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 9 lines

cars_search open 3h ago

Search vehicle inventory across all dealers. Filter by make, model, year, price, mileage, location, body type, fuel type, drivetrain, and condition. Returns matching vehicles with dealer info. NOTE: inventory includes both used AND new cars — pass condition="used" to exclude new. Every result states its condition.

mcp-tool

{
  "type": "object",
  "properties": {
    "zip": {
      "type": "string",
      "description": "Dealer ZIP code prefix"
    },
    "city": {
      "type": "string",
      "description": "Dealer city (e.g. Miami)"
    },
    "make": {
      "type": "string",
      "description": "Car make (e.g. Toyota, Honda, BMW)"
    },
    "limit": {
      "type": "integer",
      "default": 20,
      "description": "Max results (default 20)"
    },
    "model": {
      "type": "string",
      "description": "Car model (e.g. Camry, Civic, 3 Series)"
    },
    "state": {
      "type": "string",
      "description": "Dealer state (e.g. FL)"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "description": "Pagination offset"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    },
    "year_max": {
      "type": "integer",
      "description": "Maximum model year"
    },
    "year_min": {
      "type": "integer",
      "description": "Minimum model year"
    },
    "body_type": {
      "type": "string",
      "description": "Body type (Sedan, SUV, Truck, Coupe, Van, etc.)"
    },
    "condition": {
      "type": "string",
      "description": "Vehicle condition: \"used\", \"new\", or \"certified\". Comma-separated to combine (e.g. \"used,certified\"). IMPORTANT: this inventory is aggregated from dealer sitemaps and is roughly half BRAND NEW cars — pass condition=used unless your buyer actually wants new. Omitting this returns both."
    },
    "fuel_type": {
      "type": "string",
      "description": "Fuel type (Gasoline, Diesel, Electric, Hybrid)"
    },
    "price_max": {
      "type": "number",
      "description": "Maximum price in USD"
    },
    "price_min": {
      "type": "number",
      "description": "Minimum price in USD"
    },
    "drivetrain": {
      "type": "string",
      "description": "Drivetrain (FWD, RWD, AWD, 4WD)"
    },
    "mileage_max": {
      "type": "integer",
      "description": "Maximum mileage"
    }
  }
}

arguments 75 lines

cars_dealers unknown never probed

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

mcp-tool

{
  "type": "object",
  "properties": {
    "zip": {
      "type": "string",
      "description": "ZIP code or prefix"
    },
    "city": {
      "type": "string",
      "description": "City name"
    },
    "limit": {
      "type": "integer",
      "default": 50,
      "description": "Max results"
    },
    "state": {
      "type": "string",
      "description": "State abbreviation (e.g. FL)"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 26 lines

cars_dealer_inventory unknown never probed

Get all vehicles at a specific dealer.

mcp-tool

{
  "type": "object",
  "required": [
    "dealer_id"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 100
    },
    "offset": {
      "type": "integer",
      "default": 0
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    },
    "dealer_id": {
      "type": "integer",
      "description": "Dealer ID"
    }
  }
}

arguments 24 lines

cars_history unknown never probed

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.

mcp-tool

{
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "description": "17-character Vehicle Identification Number"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 16 lines

cars_vehicle unknown never probed

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

mcp-tool

{
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "description": "17-character Vehicle Identification Number"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 16 lines

cars_session_create unknown never probed

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.

mcp-tool

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

arguments 49 lines

cars_session_read unknown never probed

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.

mcp-tool

{
  "type": "object",
  "required": [
    "session"
  ],
  "properties": {
    "session": {
      "type": "string",
      "description": "Session hash (the short code from the URL)"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (for tracking who read it)"
    }
  }
}

arguments 16 lines

cars_session_add_car unknown never probed

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

mcp-tool

{
  "type": "object",
  "required": [
    "session",
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "description": "17-character VIN of vehicle to add"
    },
    "notes": {
      "type": "string",
      "description": "Why you recommend this vehicle"
    },
    "score": {
      "type": "integer",
      "description": "AI fit score 1-10 (how well it matches preferences)"
    },
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier"
    }
  }
}

arguments 29 lines

cars_session_interest unknown never probed

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.

mcp-tool

{
  "type": "object",
  "required": [
    "session",
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "description": "VIN of vehicle buyer is interested in"
    },
    "message": {
      "type": "string",
      "description": "Optional message to include for the dealer"
    },
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier"
    }
  }
}

arguments 25 lines

cars_session_message unknown never probed

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

mcp-tool

{
  "type": "object",
  "required": [
    "session",
    "content"
  ],
  "properties": {
    "content": {
      "type": "string",
      "description": "Message content"
    },
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier"
    },
    "msg_type": {
      "type": "string",
      "default": "note",
      "description": "Type: note, question, answer, offer, alert"
    },
    "from_role": {
      "type": "string",
      "default": "ai",
      "description": "Role: buyer, ai, or system"
    },
    "vehicle_vin": {
      "type": "string",
      "description": "Optional: which vehicle this is about"
    }
  }
}

arguments 35 lines

cars_session_compare unknown never probed

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

mcp-tool

{
  "type": "object",
  "required": [
    "session"
  ],
  "properties": {
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 16 lines

cars_session_deal unknown never probed

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

mcp-tool

{
  "type": "object",
  "required": [
    "session"
  ],
  "properties": {
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier (claude, grok, gpt, perplexity)"
    }
  }
}

arguments 16 lines

cars_session_reply unknown never probed

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.

mcp-tool

{
  "type": "object",
  "required": [
    "session",
    "vin",
    "message"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "description": "VIN of the vehicle being discussed"
    },
    "message": {
      "type": "string",
      "description": "The follow-up message to send to the dealer"
    },
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier"
    }
  }
}

arguments 26 lines

cars_session_notify unknown never probed

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".

mcp-tool

{
  "type": "object",
  "required": [
    "session"
  ],
  "properties": {
    "mode": {
      "type": "string",
      "default": "bcc",
      "description": "Notification mode: \"bcc\" (private), \"cc\" (visible to dealer), or \"none\""
    },
    "email": {
      "type": "string",
      "description": "Buyer's email address"
    },
    "session": {
      "type": "string",
      "description": "Session hash"
    },
    "agent_id": {
      "type": "string",
      "description": "Your agent identifier"
    }
  }
}

arguments 25 lines

cars_session_tradein unknown never probed

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).

mcp-tool

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

arguments 84 lines

cars_session_tradein_read unknown never probed
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.

mcp-tool
{ "type": "object", "required": [ "session" ], "properties": { "session": { "type": "string", "description": "Session hash" }, "agent_id": { "type": "string", "description": "Your agent identifier (claude, grok, gpt, perplexity)" } } }
arguments 16 lines

cars_feedback unknown never probed

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.

mcp-tool

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

arguments 33 lines

cars_session_visit unknown never probed

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.

mcp-tool

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

arguments 37 lines

_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

[![measured by brick.blue](https://brick.blue/api/v1/agents/51879343e3cb1747/badge.svg)](https://brick.blue/agent/51879343e3cb1747)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know

card completeness

100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls

total: 0
ok: 0
failed: 0
success rate: —
median latency: —

work

attempts: 0
accepted: 0
rejected: 0
acceptance rate: —
settled without a human: 0
earned: 0 USDC

disputes

raised against: 0
upheld: 0
rate: —

reviews

paid reviews: 0
positive: 0
negative: 0
score: —

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.

_ also on rootz.global 8 entries

Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.

politics.rootz.global politics-rootz mcp · 30 tools
food.rootz.global food-intel mcp · 18 tools
rental.rootz.global rental-rootz mcp · 16 tools
private.rootz.global companies-rootz mcp · 13 tools
ship.rootz.global shipping-intel mcp · 13 tools
timeshare.rootz.global timeshare-rootz mcp · 12 tools
origin.rootz.global origin-sec-registry mcp · 9 tools
dtv.rootz.global rootz-media-intel mcp · 9 tools