Everything here was measured by our prober or read from a registry. Nothing is self-reported.
30-day availabilityno checks in window
30 days agotoday
Endpoints
https://mcp.opendealer.app/rpcmcp streamable http · checked on a schedule
Registry facts
Not distributed through a package registry we index.
when
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result
http
latency
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1 h ago
mcp initialize
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server OpenDealer MCP Server 2.2.2 · protocol 2025-06-18 · 27 tools
Tools observed via MCP handshake
search_vehicles — Search for vehicles across dealerships (Meilisearch-backed NL + structured filters).
Preferred tool order for assistants:
1. list_facets or list_research_makes
filter_vehicles — Preferred structured inventory lookup when make/model/year/color/location are known.
Uses exact hard filters (keyword mode, no embeddings) via the Runtime /v1/
list_facets — Discover available filter values and counts (makes, body types, fuel types, price/year ranges) for the live inventory.
Call this before filter_vehicles when yo
list_research_makes — 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.
list_research_models — 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.
get_vehicle — Get complete details for a specific vehicle by VIN.
Returns comprehensive Schema.org Vehicle data including:
• Full specifications (engine, transmission, drive
check_recalls — 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 mode
get_dealer — Get comprehensive information about a specific dealership.
Returns Google-enriched dealer knowledge optimized for assistants:
• Name, address, phone, website
•
get_safety_rating — 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-t
get_vehicle_history — 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 retai
dealers_near — Find dealerships near a location.
Location modes (choose ONE):
• zip + radius (miles)
• lat + lng + radius
• city + state + radius
• county + state + radius
R
dealer_inventory
Declared by sources
What the publisher says
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
kind ← Official MCP Registry
name ← Official MCP Registry
summary ← Official MCP Registry
version ← Official MCP Registry
description ← Official MCP Registry
homepageUrl ← Official MCP Registry
publisherName ← Official MCP Registry
Derived by Wellknown
Capabilities
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
No capability could be derived with confidence. Owners can declare capabilities after claiming.
Provenance
Where this record came from
Every source is kept verbatim. Field changes are logged as events.
4 h ago · declared · summary → "Automotive inventory search for AI assistants: vehicles, dealers, deals, and market data."
4 h ago · declared · description → "Automotive inventory search for AI assistants: vehicles, dealers, deals, and market data."
4 h ago · declared · publisherName → "app.opendealer"
4 h ago · declared · homepageUrl → "https://opendealer.pro"
4 h ago · declared · version → "2.0.0"
4 h ago · declared · protocols → ["mcp"]
— 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 g
compare_vehicles — Compare 2-5 vehicles side by side.
Returns a structured comparison including specs, price context, and per-vehicle cite fields (vin + shop url).
CRITICAL: CIT
get_deal_score — Get AI-powered deal scoring and market insights for a vehicle.
Returns comprehensive analysis including:
• Deal score (1-100) with rating (Great, Good, Fair, P
get_market_overview — Get high-level automotive market statistics.
Returns aggregated market data including:
• Total vehicles and dealers in inventory
• Average pricing by segment
•
get_market_segment — Get detailed pricing and market data for a specific vehicle segment.
Useful for understanding fair market value for a make/model/year combination.
Returns pric
list_market_segments — Browse market segments with pricing statistics (modelcode, median price, sample size). Use to discover modelcodes for get_market_segment / get_market_trends.
get_market_trends — Price trends over time for a market segment (modelcode). Returns timeline of median/avg prices and days-on-lot.
get_market_velocity — How quickly vehicles sell by segment (fastest/slowest days on lot). Optional make/type filters.
compare_market — Compare pricing across market segments. Provide modelcodes[] or make (optionally with model).
get_suggested_rates — National average suggested auto loan APRs (not a credit offer). Optional filters: condition (new/used), term_months (36–84), credit_tier.
research_model — 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
compare_models — Compare 2-4 vehicle models side by side (model-level, not specific listings).
Provide composite make-model slugs like "honda-civic" or "toyota-corolla". Return
get_vehicle_rankings — 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.
get_similar_vehicles — 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: Eac
ui_select_vehicle — App-only: record a vehicle selection from the results widget. Not for model use — hosts filter via _meta.ui.visibility.
ui_page_vehicle_results — App-only: paginate or refresh vehicle results using the same Runtime paths as filter_vehicles / search_vehicles (geo-correct). No widget remount — omit resource