MCP serverapp.opendealer/mcp

Automotive inventory search for AI assistants: vehicles, dealers, deals, and market data.

UNRATEDActivestreamable-httpmcp.opendealer.app

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UNRATED 0.681

of what a free look can see, on 32 looks

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last 9 hr ago

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URL

mcp.opendealer.app/rpc

streamable-http

Says it is

OpenDealer MCP Server 2.2.2

protocol 2025-06-18

In the record since

32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.681 · highest on record 0.8561

Toolsfrom sha256:e3c3b825ea…329e7e

The tools this server lists, read out of the definition it returned
Tool	Schema
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 model year may not apply	input · output
compare_market Compare pricing across market segments. Provide modelcodes[] or make (optionally with model).	input · output
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". Returns: • Winner-by-dimen	input · output
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: CITE: Each vehicle's ci	input · output
dealer_inventory 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. Us	input · output
dealers_near Find dealerships near a location. Location modes (choose ONE): • zip + radius (miles) • lat + lng + radius • city + state + radius • county + state + radius Returns dealer inform	input · output
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/llm/filter path. Res	input · output
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, Poor) • Price compari	input · output
get_dealer Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • Google rating, revi	input · output
get_market_overview 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	input · output
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 pricing statistics inclu	input · output
get_market_trends Price trends over time for a market segment (modelcode). Returns timeline of median/avg prices and days-on-lot.	input · output
get_market_velocity How quickly vehicles sell by segment (fastest/slowest days on lot). Optional make/type filters.	input · output
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-test star ratings (wh	input · output
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: Each vehicle's cite obj	input · output
get_suggested_rates National average suggested auto loan APRs (not a credit offer). Optional filters: condition (new/used), term_months (36–84), credit_tier.	input · output
get_vehicle Get complete details for a specific vehicle by VIN. Returns comprehensive Schema.org Vehicle data including: • Full specifications (engine, transmission, drivetrain) • High-resolu	input · output
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 retained snapshots (inclu	input · output
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., "best-suvs") for t	input · output
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 you need valid dimensi	input · output
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.	input · output
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.	input · output
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.	input · output
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 MSRPs, engine/body s	input · output
search_vehicles Search for vehicles across dealerships (Meilisearch-backed NL + structured filters). Preferred tool order for assistants: 1. list_facets or list_research_makes/list_research_model	input · output
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 resourceUri. Not for model u	input · output
ui_select_vehicle App-only: record a vehicle selection from the results widget. Not for model use — hosts filter via _meta.ui.visibility.	input · output

Verify it yourselfnpx teppi-check https://mcp.opendealer.app/rpccurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ23Q1KRVKQ9MVFENPRJJF