_ registry / mcp streamable-http · checked 7m ago

OpenDealer MCP Server

https://mcp.opendealer.app

Registry code: 67eb25ea0630e8cf

api record

OpenDealer provides public automotive inventory search (no API key required for read tools).

Preferred discovery flow: list_facets or list_research_makes/list_research_models → filter_vehicles (map shopper intent onto labeled hard filters) → get_vehicle / get_deal_score / research_model / get_similar_vehicles for depth.

endpoint
https://mcp.opendealer.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
live
uptime
100%
latency
723ms

last good check

priced tools
0

of 27 tools

_ what it is for
topic
payments & commerce marketplaces & listings
used for
  • search for vehicles
  • compare vehicles
  • get vehicle details
  • research car market
  • check car safety
takes → gives
text, data → text, data, web pages
tools
25 reads2 effect unclear
_ 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 27 tools
7 open 20 never probed 7 of 27 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.

  • get_market_velocity reads open 6h ago

    How quickly vehicles sell by segment (fastest/slowest days on lot). Optional make/type filters.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1
    },
    "type": {
      "enum": [
        "New",
        "Used"
      ],
      "type": "string",
      "description": "Vehicle type (New or Used)"
    },
    "limit": {
      "type": "integer",
      "default": 20,
      "maximum": 50,
      "minimum": 1
    }
  },
  "additionalProperties": false
}
    arguments 24 lines
  • get_vehicle_rankings reads open 11h ago

    Get data-driven vehicle rankings (e.g., best SUVs, most fuel-efficient cars). Call without arguments to list all ranking categories. Pass a category slug (e.g., "best-suvs") for the full scored ranking. Rankings are computed from public data with a published methodology: NHTSA safety ratings, EPA fuel economy, manufacturer pricing, and live market availability. There is no paid placement; each entry includes its transparent score breakdown. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "minLength": 1,
      "description": "Ranking category slug (e.g., \"best-suvs\"). Omit to list all available categories."
    }
  },
  "additionalProperties": false
}
    arguments 11 lines
  • list_facets reads open 11h ago

    Discover available filter values and counts (makes, body types, fuel types, price/year ranges) for the live inventory. Call this before filter_vehicles when you need valid dimension values. Optional make/near/radius scopes the facet counts.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1
    },
    "near": {
      "type": "string",
      "minLength": 1,
      "description": "Location string (ZIP or city, state) for geo-scoped facets"
    },
    "radius": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Search radius in miles (1-250, default: 50)"
    },
    "certified": {
      "type": "boolean"
    },
    "condition": {
      "enum": [
        "New",
        "Used",
        "Certified"
      ],
      "type": "string",
      "description": "Vehicle condition"
    }
  },
  "additionalProperties": false
}
    arguments 34 lines
  • get_market_overview reads open 6h ago

    Get high-level automotive market statistics. Returns aggregated market data including: • Total vehicles and dealers in inventory • Average pricing by segment • Top makes by volume • Market velocity indicators • New vs Used breakdown

    mcp-tool

    {
  "type": "object",
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Filter by vehicle make"
    },
    "type": {
      "enum": [
        "New",
        "Used"
      ],
      "type": "string",
      "description": "Filter by vehicle type"
    }
  },
  "additionalProperties": false
}
    arguments 19 lines
  • list_research_makes reads open 9h ago

    Browse the research catalog of vehicle makes (with model and inventory counts). Use to resolve exact make names/slugs before filter_vehicles or research_model.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 1,
      "description": "Optional substring filter on make name/slug"
    },
    "limit": {
      "type": "integer",
      "maximum": 200,
      "minimum": 1
    }
  },
  "additionalProperties": false
}
    arguments 16 lines
  • get_suggested_rates reads open 6h ago

    National average suggested auto loan APRs (not a credit offer). Optional filters: condition (new/used), term_months (36–84), credit_tier.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "condition": {
      "enum": [
        "new",
        "used"
      ],
      "type": "string"
    },
    "credit_tier": {
      "enum": [
        "excellent",
        "good",
        "average",
        "fair"
      ],
      "type": "string"
    },
    "term_months": {
      "enum": [
        36,
        48,
        60,
        72,
        84
      ],
      "type": "number"
    }
  },
  "additionalProperties": false
}
    arguments 32 lines
  • list_market_segments reads open 11h ago

    Browse market segments with pricing statistics (modelcode, median price, sample size). Use to discover modelcodes for get_market_segment / get_market_trends.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1
    },
    "page": {
      "type": "integer",
      "minimum": 1
    },
    "limit": {
      "type": "integer",
      "maximum": 100,
      "minimum": 1
    },
    "modelcode": {
      "type": "string",
      "minLength": 1
    },
    "minSampleSize": {
      "type": "integer",
      "minimum": 1
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • list_research_models reads unknown never probed

    List models for a make from the research catalog (MSRP/body summaries). Use before filter_vehicles or research_model when the model name is uncertain.

    mcp-tool

    {
  "type": "object",
  "required": [
    "make"
  ],
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Make name or slug (e.g. honda)"
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • filter_vehicles reads unknown 7h ago

    Preferred structured inventory lookup when make/model/year/color/location are known. Uses exact hard filters (keyword mode, no embeddings) via the Runtime /v1/llm/filter path. Resolve exact make/model names with list_research_makes and list_research_models first. Map shopper prose onto labeled keys (make, model, body, price_max, location); do not dump the sentence into search_vehicles. Often the first step in shopping playbooks (budget_coach, safety_first, price_drop_sniper, dealer_crawl). After results, chain get_deal_score / get_vehicle_history / check_recalls / compare_vehicles when the user needs a recommendation, not just a list. See opendealer://assistant/shopping-playbooks. CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "zip": {
      "type": "string",
      "pattern": "^[0-9]{5}$",
      "description": "5-digit US ZIP code (e.g., 92688)"
    },
    "city": {
      "type": "string",
      "minLength": 1
    },
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle make (resolve via list_research_makes if unsure)"
    },
    "sort": {
      "enum": [
        "relevance",
        "price_asc",
        "price_desc",
        "year_desc",
        "mileage_asc",
        "distance_asc"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Sort order for results"
    },
    "trim": {
      "type": "string",
      "minLength": 1
    },
    "color": {
      "type": "string",
      "minLength": 1
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of results to return (1-100, default: 25)"
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle model (resolve via list_research_models if unsure)"
    },
    "state": {
      "type": "string",
      "maxLength": 2,
      "minLength": 2,
      "description": "2-letter US state code (e.g., CA, TX)"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Number of results to skip for pagination"
    },
    "radius": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Search radius in miles (1-250, default: 50)"
    },
    "year_max": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "year_min": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "body_type": {
      "enum": [
        "Sedan",
        "SUV",
        "Truck",
        "Coupe",
        "Van",
        "Wagon",
        "Convertible",
        "Hatchback"
      ],
      "type": "string",
      "description": "Vehicle body style"
    },
    "certified": {
      "type": "boolean"
    },
    "condition": {
      "enum": [
        "New",
        "Used",
        "Certified"
      ],
      "type": "string",
      "description": "Vehicle condition"
    },
    "fuel_type": {
      "enum": [
        "Gasoline",
        "Diesel",
        "Electric",
        "Hybrid",
        "Plug-in Hybrid"
      ],
      "type": "string",
      "description": "Fuel type"
    },
    "price_max": {
      "type": "integer",
      "minimum": 0
    },
    "price_min": {
      "type": "integer",
      "minimum": 0
    },
    "drivetrain": {
      "enum": [
        "FWD",
        "RWD",
        "AWD",
        "4WD"
      ],
      "type": "string",
      "description": "Drivetrain configuration"
    },
    "mileage_max": {
      "type": "integer",
      "minimum": 0
    },
    "transmission": {
      "enum": [
        "Automatic",
        "Manual",
        "CVT"
      ],
      "type": "string",
      "description": "Transmission type"
    }
  },
  "additionalProperties": false
}
    arguments 150 lines
  • check_recalls reads unknown never probed

    Get NHTSA open safety recalls for a vehicle by VIN. Returns recall campaigns resolved at the year/make/model level (YMM-granular). A recall listed for the model year may not apply to every VIN — the response includes NHTSA's disclaimer and campaign details (component, summary, remedy status, Park It / Park Outside advisories). Use this when a shopper asks about recalls, safety campaigns, or whether a specific model has open NHTSA notices. Required step in vehicle_dossier and safety_first playbooks; always include the YMM-granularity disclaimer.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • get_market_trends reads unknown never probed

    Price trends over time for a market segment (modelcode). Returns timeline of median/avg prices and days-on-lot.

    mcp-tool

    {
  "type": "object",
  "required": [
    "modelcode"
  ],
  "properties": {
    "days": {
      "type": "integer",
      "default": 30,
      "maximum": 90,
      "minimum": 7
    },
    "type": {
      "enum": [
        "New",
        "Used"
      ],
      "type": "string",
      "description": "Vehicle type (New or Used)"
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "certified": {
      "type": "boolean"
    },
    "modelcode": {
      "type": "string",
      "minLength": 1,
      "description": "Market segment modelcode"
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • compare_models reads unknown never probed

    Compare 2-4 vehicle models side by side (model-level, not specific listings). Provide composite make-model slugs like "honda-civic" or "toyota-corolla". Returns: • Winner-by-dimension deltas: price, fuel economy, horsepower, seating, towing, NHTSA safety, live median listing price • Full research payload for each model (trims, MSRPs, specs) Use this for "Civic vs Corolla" style questions. To compare specific listed vehicles by VIN, use compare_vehicles instead. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "models"
  ],
  "properties": {
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Model year (defaults to the latest year with reference data)"
    },
    "models": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 3
      },
      "maxItems": 4,
      "minItems": 2,
      "description": "Composite make-model slugs to compare (e.g., [\"honda-civic\", \"toyota-corolla\"])"
    }
  },
  "additionalProperties": false
}
    arguments 25 lines
  • search_vehicles reads unknown 9h ago

    Search for vehicles across dealerships (Meilisearch-backed NL + structured filters). Preferred tool order for assistants: 1. list_facets or list_research_makes/list_research_models to discover valid values 2. filter_vehicles (map shopper intent onto labeled hard filters) 3. get_vehicle / get_deal_score / research_model for depth When the ask implies analysis (good deal?, safety, budget, timing, dealer plan), continue with a shopping playbook from initialize instructions or resource opendealer://assistant/shopping-playbooks — do not stop at raw search results. Location modes (choose ONE): zip+radius, lat+lng+radius, city+state+radius, county+state+radius — or embed location in q. Forgiving matching: model variants, color families, typo tolerance. Hard caps (price_max, year, radius) are never relaxed. Prefer filter_vehicles; do not dump shopper prose into q. CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 1,
      "description": "Free-text natural-language query. You can pass a whole sentence (e.g. \"new black Honda Civic sedan under $45k within 150 miles of 92672\"): price/mileage/year/condition and zip+radius are parsed out as hard constraints, while make/model/color/body words are matched forgivingly. Explicit structured params override anything parsed from the sentence."
    },
    "lat": {
      "type": "number",
      "maximum": 90,
      "minimum": -90,
      "description": "Latitude coordinate"
    },
    "lng": {
      "type": "number",
      "maximum": 180,
      "minimum": -180,
      "description": "Longitude coordinate"
    },
    "zip": {
      "type": "string",
      "pattern": "^[0-9]{5}$",
      "description": "5-digit US ZIP code (e.g., 92688)"
    },
    "city": {
      "type": "string",
      "minLength": 1,
      "description": "City name"
    },
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle make (e.g., Honda, Toyota, Tesla)"
    },
    "mode": {
      "enum": [
        "keyword",
        "hybrid"
      ],
      "type": "string",
      "description": "Search mode. Use hybrid for conceptual queries with little keyword overlap (e.g. \"family hauler good in snow\"). Hard caps still apply as filters. Falls back to keyword if semantic is unavailable."
    },
    "sort": {
      "enum": [
        "relevance",
        "price_asc",
        "price_desc",
        "year_desc",
        "mileage_asc",
        "distance_asc"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Sort order for results"
    },
    "trim": {
      "type": "string",
      "minLength": 1,
      "description": "Trim level (e.g., EX, Limited, Performance)"
    },
    "view": {
      "enum": [
        "llm",
        "standard",
        "minimal"
      ],
      "type": "string",
      "default": "llm",
      "description": "Response format: llm (optimized for AI), standard (full details), minimal (compact)"
    },
    "color": {
      "type": "string",
      "minLength": 1,
      "description": "Exterior color (e.g., black, white). Resolved to color families, so \"black\" matches \"Crystal Black Pearl\"."
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of results to return (1-100, default: 25)"
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle model (e.g., Civic, Camry, Model 3). Broad terms match all variants (Civic -> Civic Sedan/Si/Hatchback) unless narrowed by trim."
    },
    "state": {
      "type": "string",
      "maxLength": 2,
      "minLength": 2,
      "description": "2-letter US state code (e.g., CA, TX)"
    },
    "county": {
      "type": "string",
      "minLength": 1,
      "description": "County name"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Number of results to skip for pagination"
    },
    "radius": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Search radius in miles (1-250, default: 50)"
    },
    "year_max": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Maximum model year"
    },
    "year_min": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Minimum model year"
    },
    "body_type": {
      "enum": [
        "Sedan",
        "SUV",
        "Truck",
        "Coupe",
        "Van",
        "Wagon",
        "Convertible",
        "Hatchback"
      ],
      "type": "string",
      "description": "Vehicle body style"
    },
    "certified": {
      "type": "boolean",
      "description": "Filter for Certified Pre-Owned vehicles only"
    },
    "condition": {
      "enum": [
        "New",
        "Used",
        "Certified"
      ],
      "type": "string",
      "description": "Vehicle condition"
    },
    "fuel_type": {
      "enum": [
        "Gasoline",
        "Diesel",
        "Electric",
        "Hybrid",
        "Plug-in Hybrid"
      ],
      "type": "string",
      "description": "Fuel type"
    },
    "price_max": {
      "type": "integer",
      "minimum": 0,
      "description": "Maximum price in USD"
    },
    "price_min": {
      "type": "integer",
      "minimum": 0,
      "description": "Minimum price in USD"
    },
    "drivetrain": {
      "enum": [
        "FWD",
        "RWD",
        "AWD",
        "4WD"
      ],
      "type": "string",
      "description": "Drivetrain configuration"
    },
    "mileage_max": {
      "type": "integer",
      "minimum": 0,
      "description": "Maximum mileage"
    },
    "transmission": {
      "enum": [
        "Automatic",
        "Manual",
        "CVT"
      ],
      "type": "string",
      "description": "Transmission type"
    },
    "semanticRatio": {
      "type": "number",
      "maximum": 1,
      "minimum": 0,
      "description": "Semantic blend weight 0..1 when mode=hybrid (default 0.5). Higher = more conceptual matching."
    },
    "useLlmSearchPath": {
      "type": "boolean",
      "description": "Legacy. Do not set. Prefer filter_vehicles with labeled hard filters."
    }
  },
  "additionalProperties": false
}
    arguments 209 lines
  • get_dealer reads unknown never probed

    Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, review count, hours, business status • Inventory count and OpenDealer profile links • Contact points for sales / customer service Use this when a shopper asks "tell me about X dealership" or needs hours/ratings for a known dealer. Prefer a slug from dealers_near or search results. CRITICAL: Only use URL fields from the response (website, urls.*). NEVER invent or construct URLs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "dealerId"
  ],
  "properties": {
    "dealerId": {
      "type": "string",
      "minLength": 3,
      "description": "Dealer identifier: UUID or slug (e.g., \"rsm-honda\"). Prefer the slug from dealers_near or search results."
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • dealer_inventory reads unknown never probed

    Browse the complete inventory of a specific dealership. IMPORTANT: Use the exact dealer slug from a previous dealers_near or search_vehicles response. Do NOT guess dealer IDs. Useful when a user wants to see what a particular dealer has in stock. Supports all vehicle filters (make, model, price, etc.). CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "required": [
    "dealerId"
  ],
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle make"
    },
    "sort": {
      "enum": [
        "relevance",
        "price_asc",
        "price_desc",
        "year_desc",
        "mileage_asc"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Sort order"
    },
    "trim": {
      "type": "string",
      "minLength": 1,
      "description": "Trim level"
    },
    "view": {
      "enum": [
        "llm",
        "standard",
        "minimal"
      ],
      "type": "string",
      "default": "standard",
      "description": "Response detail: standard (features/gallery, default), llm (compact), minimal"
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of results to return (1-100, default: 25)"
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle model"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Number of results to skip for pagination"
    },
    "dealerId": {
      "type": "string",
      "minLength": 3,
      "description": "Dealer identifier (UUID or slug like \"rsm-honda\")"
    },
    "year_max": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Maximum model year"
    },
    "year_min": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Minimum model year"
    },
    "body_type": {
      "enum": [
        "Sedan",
        "SUV",
        "Truck",
        "Coupe",
        "Van",
        "Wagon",
        "Convertible",
        "Hatchback"
      ],
      "type": "string",
      "description": "Vehicle body style"
    },
    "certified": {
      "type": "boolean",
      "description": "Filter for CPO vehicles"
    },
    "condition": {
      "enum": [
        "New",
        "Used",
        "Certified"
      ],
      "type": "string",
      "description": "Vehicle condition"
    },
    "fuel_type": {
      "enum": [
        "Gasoline",
        "Diesel",
        "Electric",
        "Hybrid",
        "Plug-in Hybrid"
      ],
      "type": "string",
      "description": "Fuel type"
    },
    "price_max": {
      "type": "integer",
      "minimum": 0,
      "description": "Maximum price in USD"
    },
    "price_min": {
      "type": "integer",
      "minimum": 0,
      "description": "Minimum price in USD"
    },
    "drivetrain": {
      "enum": [
        "FWD",
        "RWD",
        "AWD",
        "4WD"
      ],
      "type": "string",
      "description": "Drivetrain configuration"
    },
    "mileage_max": {
      "type": "integer",
      "minimum": 0,
      "description": "Maximum mileage"
    },
    "transmission": {
      "enum": [
        "Automatic",
        "Manual",
        "CVT"
      ],
      "type": "string",
      "description": "Transmission type"
    }
  },
  "additionalProperties": false
}
    arguments 148 lines
  • compare_vehicles reads unknown never probed

    Compare 2-5 vehicles side by side. Returns a structured comparison including specs, price context, and per-vehicle cite fields (vin + shop url). CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vins"
  ],
  "properties": {
    "vins": {
      "type": "array",
      "items": {
        "type": "string",
        "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
        "description": "17-character Vehicle Identification Number"
      },
      "maxItems": 5,
      "minItems": 2,
      "description": "List of VINs to compare (2-5 vehicles)"
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • get_deal_score reads unknown never probed

    Get AI-powered deal scoring and market insights for a vehicle. Returns comprehensive analysis including: • Deal score (1-100) with rating (Great, Good, Fair, Poor) • Price comparison vs market average • Days on lot analysis • Price history and trends • Similar vehicles in the market Core step in vehicle_dossier, budget_coach, price_drop_sniper, and dealer_crawl playbooks. Pair with get_vehicle_history and check_recalls for buy/no-buy answers.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • get_market_segment reads unknown never probed

    Get detailed pricing and market data for a specific vehicle segment. Useful for understanding fair market value for a make/model/year combination. Returns pricing statistics including: • Average, median, min, max prices • Price percentiles (10th, 25th, 75th, 90th) • Average mileage and days on lot • Certified vs non-certified pricing difference

    mcp-tool

    {
  "type": "object",
  "required": [
    "modelcode"
  ],
  "properties": {
    "type": {
      "enum": [
        "New",
        "Used"
      ],
      "type": "string",
      "description": "Vehicle type"
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Model year"
    },
    "certified": {
      "type": "boolean",
      "description": "Filter for certified vehicles"
    },
    "modelcode": {
      "type": "string",
      "minLength": 1,
      "description": "Model code identifier (unique per make/model/year combination)"
    }
  },
  "additionalProperties": false
}
    arguments 32 lines
  • research_model reads unknown never probed

    Get the full research payload for a vehicle model (not a specific listing). Returns manufacturer reference data joined with live market data: • All trims with MSRPs, engine/body specs, and EPA fuel economy • NHTSA 5-Star safety ratings and open recall count • Live inventory count and price range on OpenDealer Use this when a shopper asks "tell me about the Honda Civic", "what trims does the RAV4 come in", or "how much is a 2025 F-150". For a specific listed vehicle, use get_vehicle with a VIN instead. CRITICAL: Only use the 'url' field from the response for links. NEVER invent or construct URLs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "make",
    "model"
  ],
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle make slug or name (e.g., \"honda\", \"mercedes-benz\")"
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Model year (defaults to the latest year with reference data)"
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle model slug or name (e.g., \"civic\", \"e-class\")"
    }
  },
  "additionalProperties": false
}
    arguments 26 lines
  • get_similar_vehicles reads unknown never probed

    Find similar on-lot vehicles for a VIN ("you may also like"). Same make/model keyword comps as the shop VDP rail (not semantic embeddings). CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    },
    "limit": {
      "type": "integer",
      "default": 6,
      "maximum": 24,
      "minimum": 1
    }
  },
  "additionalProperties": false
}
    arguments 20 lines
  • ui_select_vehicle unknown never probed

    App-only: record a vehicle selection from the results widget. Not for model use — hosts filter via _meta.ui.visibility.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "url": {
      "type": "string",
      "minLength": 1
    },
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    },
    "make": {
      "type": "string",
      "minLength": 1
    },
    "name": {
      "type": "string",
      "minLength": 1
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "model": {
      "type": "string",
      "minLength": 1
    }
  },
  "additionalProperties": false
}
    arguments 35 lines
  • dealers_near reads unknown 7h ago

    Find dealerships near a location. Location modes (choose ONE): • zip + radius (miles) • lat + lng + radius • city + state + radius • county + state + radius Returns dealer information including: • Name, address, phone, website • Distance from search location • Current inventory count • Business hours (when available)

    mcp-tool

    {
  "type": "object",
  "properties": {
    "lat": {
      "type": "number",
      "maximum": 90,
      "minimum": -90,
      "description": "Latitude coordinate"
    },
    "lng": {
      "type": "number",
      "maximum": 180,
      "minimum": -180,
      "description": "Longitude coordinate"
    },
    "zip": {
      "type": "string",
      "pattern": "^[0-9]{5}$",
      "description": "5-digit US ZIP code (e.g., 92688)"
    },
    "city": {
      "type": "string",
      "minLength": 1,
      "description": "City name"
    },
    "limit": {
      "type": "integer",
      "default": 50,
      "maximum": 200,
      "minimum": 1,
      "description": "Maximum number of dealers to return (1-200, default: 50)"
    },
    "state": {
      "type": "string",
      "maxLength": 2,
      "minLength": 2,
      "description": "2-letter US state code (e.g., CA, TX)"
    },
    "county": {
      "type": "string",
      "minLength": 1,
      "description": "County name"
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Number of results to skip for pagination"
    },
    "radius": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Search radius in miles (1-250, default: 50)"
    }
  },
  "additionalProperties": false
}
    arguments 59 lines
  • get_safety_rating reads unknown never probed

    Get NHTSA 5-Star Safety Ratings for a year/make/model (no VIN required). Answers questions like "is a 2023 RAV4 safe for my family" with: • Overall and crash-test star ratings (when published) • Rollover rating / possibility • NHTSA-evaluated ADAS availability (ESC, FCW, LDW) Ratings are model-year granular from the NHTSA NCAP cache. If no confident rating exists, the tool reports that honestly rather than guessing. For VIN-specific listing details use get_vehicle; for open recalls use check_recalls. CRITICAL: Only use the 'sourceUrl' field from the response for NHTSA links. NEVER invent URLs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "year",
    "make",
    "model"
  ],
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle make (e.g., \"Toyota\", \"Honda\")"
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990,
      "description": "Model year (e.g., 2023)"
    },
    "model": {
      "type": "string",
      "minLength": 1,
      "description": "Vehicle model (e.g., \"RAV4\", \"Civic\")"
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • ui_page_vehicle_results unknown 9h ago

    App-only: paginate or refresh vehicle results using the same Runtime paths as filter_vehicles / search_vehicles (geo-correct). No widget remount — omit resourceUri. Not for model use.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 1
    },
    "lat": {
      "type": "number",
      "maximum": 90,
      "minimum": -90,
      "description": "Latitude coordinate"
    },
    "lng": {
      "type": "number",
      "maximum": 180,
      "minimum": -180,
      "description": "Longitude coordinate"
    },
    "zip": {
      "type": "string",
      "pattern": "^[0-9]{5}$",
      "description": "5-digit US ZIP code (e.g., 92688)"
    },
    "city": {
      "type": "string",
      "minLength": 1
    },
    "make": {
      "type": "string",
      "minLength": 1
    },
    "mode": {
      "enum": [
        "keyword",
        "hybrid"
      ],
      "type": "string"
    },
    "sort": {
      "enum": [
        "relevance",
        "price_asc",
        "price_desc",
        "year_desc",
        "mileage_asc",
        "distance_asc"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Sort order for results"
    },
    "trim": {
      "type": "string",
      "minLength": 1
    },
    "view": {
      "enum": [
        "llm",
        "standard",
        "minimal"
      ],
      "type": "string",
      "default": "llm",
      "description": "Response format: llm (optimized for AI), standard (full details), minimal (compact)"
    },
    "color": {
      "type": "string",
      "minLength": 1
    },
    "limit": {
      "type": "integer",
      "default": 25,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum number of results to return (1-100, default: 25)"
    },
    "model": {
      "type": "string",
      "minLength": 1
    },
    "state": {
      "type": "string",
      "maxLength": 2,
      "minLength": 2,
      "description": "2-letter US state code (e.g., CA, TX)"
    },
    "county": {
      "type": "string",
      "minLength": 1
    },
    "offset": {
      "type": "integer",
      "default": 0,
      "minimum": 0,
      "description": "Number of results to skip for pagination"
    },
    "radius": {
      "type": "integer",
      "default": 50,
      "maximum": 250,
      "minimum": 1,
      "description": "Search radius in miles (1-250, default: 50)"
    },
    "source": {
      "enum": [
        "filter_vehicles",
        "search_vehicles"
      ],
      "type": "string",
      "default": "filter_vehicles",
      "description": "Which model-facing tool path to reuse for this page request"
    },
    "year_max": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "year_min": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "body_type": {
      "enum": [
        "Sedan",
        "SUV",
        "Truck",
        "Coupe",
        "Van",
        "Wagon",
        "Convertible",
        "Hatchback"
      ],
      "type": "string",
      "description": "Vehicle body style"
    },
    "certified": {
      "type": "boolean"
    },
    "condition": {
      "enum": [
        "New",
        "Used",
        "Certified"
      ],
      "type": "string",
      "description": "Vehicle condition"
    },
    "fuel_type": {
      "enum": [
        "Gasoline",
        "Diesel",
        "Electric",
        "Hybrid",
        "Plug-in Hybrid"
      ],
      "type": "string",
      "description": "Fuel type"
    },
    "price_max": {
      "type": "integer",
      "minimum": 0
    },
    "price_min": {
      "type": "integer",
      "minimum": 0
    },
    "drivetrain": {
      "enum": [
        "FWD",
        "RWD",
        "AWD",
        "4WD"
      ],
      "type": "string",
      "description": "Drivetrain configuration"
    },
    "mileage_max": {
      "type": "integer",
      "minimum": 0
    },
    "transmission": {
      "enum": [
        "Automatic",
        "Manual",
        "CVT"
      ],
      "type": "string",
      "description": "Transmission type"
    },
    "semanticRatio": {
      "type": "number",
      "maximum": 1,
      "minimum": 0
    },
    "useLlmSearchPath": {
      "type": "boolean"
    }
  },
  "additionalProperties": false
}
    arguments 202 lines
  • get_vehicle_history reads unknown never probed

    Get OpenDealer listing history for a VIN: price changes, days on lot, and status. Answers "has this VIN dropped in price" and days-on-lot narratives from retained snapshots (including vehicles that left a dealer feed). Returns: • Chronological price history with per-snapshot changes • Days on market / lot signals and badges (price_drop, long_on_lot) • Active vs no-longer-listed status when known Does not invent a deal score for sold vehicles — use get_deal_score for live market scoring. Essential for price_drop_sniper and vehicle_dossier playbooks when shoppers ask about reductions or negotiation leverage. CRITICAL: Only use URL fields from the response when present. NEVER invent URLs.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    }
  },
  "additionalProperties": false
}
    arguments 14 lines
  • compare_market reads unknown 7h ago

    Compare pricing across market segments. Provide modelcodes[] or make (optionally with model).

    mcp-tool

    {
  "type": "object",
  "properties": {
    "make": {
      "type": "string",
      "minLength": 1
    },
    "type": {
      "enum": [
        "New",
        "Used"
      ],
      "type": "string",
      "description": "Vehicle type (New or Used)"
    },
    "year": {
      "type": "integer",
      "maximum": 2030,
      "minimum": 1990
    },
    "model": {
      "type": "string",
      "minLength": 1
    },
    "modelcodes": {
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1
      },
      "maxItems": 10,
      "minItems": 1
    }
  },
  "additionalProperties": false
}
    arguments 36 lines
  • get_vehicle reads unknown never probed

    Get complete details for a specific vehicle by VIN. Returns comprehensive Schema.org Vehicle data including: • Full specifications (engine, transmission, drivetrain) • High-resolution images • Current pricing and availability • NHTSA NCAP safety rating summary (when available) • NHTSA open recall summary (YMM-granular, when available) • Dealer contact information Starting point for the vehicle_dossier playbook. For buy/no-buy questions, continue with get_deal_score → get_vehicle_history → check_recalls → get_similar_vehicles. CRITICAL: CITE: Each vehicle's cite object is `vin` + `url` (canonical opendealer.shop VDP). Cite only `url` to shoppers. Never invent VDP URLs. Never cite `detailsUrl` (dealer/LotLinx). Never send shoppers to `/llm/*` HTML or `/v1/llm/*` as the human listing URL.

    mcp-tool

    {
  "type": "object",
  "required": [
    "vin"
  ],
  "properties": {
    "vin": {
      "type": "string",
      "pattern": "^[A-HJ-NPR-Z0-9]{17}$",
      "description": "17-character Vehicle Identification Number"
    },
    "view": {
      "enum": [
        "llm",
        "standard",
        "minimal"
      ],
      "type": "string",
      "default": "llm",
      "description": "Response format: llm (optimized for AI), standard (full details), minimal (compact)"
    }
  },
  "additionalProperties": false
}
    arguments 24 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

[![measured by brick.blue](https://brick.blue/api/v1/agents/67eb25ea0630e8cf/badge.svg)](https://brick.blue/agent/67eb25ea0630e8cf)

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
0

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.