app.opendealer/mcp

MCPcommunautéen ligne
v2.0.0app.opendealerUnknownMis à jour il y a 2 mois

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

État de l’endpointen ligne
vérifié il y a 3 h · 774 ms
100 % des dernières 3 vérifications ont atteint cet endpoint
Fonctionne dans
ClaudeCursorCopilotChatGPTGemini

Déduit des transports déclarés par cette annonce (streamable-http). Un client absent de cette liste n’est pas écarté pour autant — c’est simplement quelque chose que Forge ne peut pas confirmer.

Indexé automatiquement depuis des sources publiques. Pas encore vérifié par son développeur sur Forge.Revendiquer cette annonce →
il y a 2 moisDernière mise à jour
Paquet
Auteurapp.opendealer
LicenceUnknown
Version2.0.0
Sourcemcp-registry
Statut de confiance
B
60/100Bon
Listé dans l’index Forge+10/10
Identité de l’éditeur vérifiée+0/30
Éditeur : aucune référence de dépôt n’est enregistrée pour cette annonce, `forge publish` ne peut donc pas vérifier la propriété automatiquement. Utilisez « Revendiquer cette annonce » ci-dessus — Forge les examine à la main.
Vérification de domaine+0/10
Actuellement indisponible pour ce type d’annonce — la vérification de domaine ne s’exécute aujourd’hui que pour les paquets adossés à npm, cette ligne ne peut donc pas encore être obtenue ici, quel que soit le contenu hébergé sur le domaine.
Analyse d’injection de prompt · propre+30/30
Analyse d’obfuscation / exfiltration · propre+20/20
StatutIndexé par la communauté
ÉditeurNon vérifié
SignatureNon signé
Domaine
Provenance
DépendancesNon audité
Surface d’outils27 outils · aucun privilégié
Analyse de sécurité✓ Proprevlive · aujourd’huiQuelle est l’efficacité de cette analyse ?
ÉvaluationsAucune
Indexé3 juil. 2026

La vérification confirme l’identité de l’éditeur (la propriété du dépôt), pas la sûreté du code. L’analyse de sécurité couvre les CVE connues et les scripts d’installation suspects.

Outils

27 outils · aucun privilégié
Observé en direct depuis l’endpoint du fournisseur3h ago

Lu depuis un véritable échange MCP initialize → tools/list contre l’endpoint déclaré. Aucun outil n’a été invoqué — tools/list est l’appel d’introspection en lecture seule que le protocole prévoit pour cela. Cela reflète ce que le serveur annonçait à cet instant ; un endpoint hébergé n’est figé sur aucune version et peut changer sans préavis.

  • https://mcp.opendealer.app/rpc27 outils · 774 ms
search_vehiclesSearch 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_…

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_…

ParamètreTypeDescription
qstringFree-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/c…
zipstring5-digit US ZIP code (e.g., 92688)
latnumberLatitude coordinate
lngnumberLongitude coordinate
citystringCity name
statestring2-letter US state code (e.g., CA, TX)
countystringCounty name
radiusintegerSearch radius in miles (1-250, default: 50)
makestringVehicle make (e.g., Honda, Toyota, Tesla)
modelstringVehicle model (e.g., Civic, Camry, Model 3). Broad terms match all variants (Civic -> Civic Sedan/Si/Hatchback) unless narrowed by trim.
trimstringTrim level (e.g., EX, Limited, Performance)
colorstringExterior color (e.g., black, white). Resolved to color families, so "black" matches "Crystal Black Pearl".
year_minintegerMinimum model year
year_maxintegerMaximum model year
price_minintegerMinimum price in USD
price_maxintegerMaximum price in USD
mileage_maxintegerMaximum mileage
body_typestringVehicle body style
fuel_typestringFuel type
transmissionstringTransmission type
drivetrainstringDrivetrain configuration
conditionstringVehicle condition
certifiedbooleanFilter for Certified Pre-Owned vehicles only
limitintegerMaximum number of results to return (1-100, default: 25)
filter_vehiclesPreferred 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 key…

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 key…

ParamètreTypeDescription
makestringVehicle make (resolve via list_research_makes if unsure)
modelstringVehicle model (resolve via list_research_models if unsure)
trimstring
colorstring
year_mininteger
year_maxinteger
price_mininteger
price_maxinteger
mileage_maxinteger
body_typestringVehicle body style
fuel_typestringFuel type
transmissionstringTransmission type
drivetrainstringDrivetrain configuration
conditionstringVehicle condition
certifiedboolean
zipstring5-digit US ZIP code (e.g., 92688)
citystring
statestring2-letter US state code (e.g., CA, TX)
radiusintegerSearch radius in miles (1-250, default: 50)
limitintegerMaximum number of results to return (1-100, default: 25)
offsetintegerNumber of results to skip for pagination
sortstringSort order for results
list_facetsDiscover 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.

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.

ParamètreTypeDescription
makestring
nearstringLocation string (ZIP or city, state) for geo-scoped facets
radiusintegerSearch radius in miles (1-250, default: 50)
conditionstringVehicle condition
certifiedboolean
list_research_makesBrowse the research catalog of vehicle makes (with model and inventory counts). Use to resolve exact make names/slugs before filter_vehicles or research_model.

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.

ParamètreTypeDescription
qstringOptional substring filter on make name/slug
limitinteger
list_research_modelsList models for a make from the research catalog (MSRP/body summaries). Use before filter_vehicles or research_model when the model name is uncertain.

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.

ParamètreTypeDescription
make*stringMake name or slug (e.g. honda)
get_vehicleGet 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…

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…

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
viewstringResponse format: llm (optimized for AI), standard (full details), minimal (compact)
check_recallsGet 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…

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…

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
get_dealerGet 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 s…

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 s…

ParamètreTypeDescription
dealerId*stringDealer identifier: UUID or slug (e.g., "rsm-honda"). Prefer the slug from dealers_near or search results.
get_safety_ratingGet 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-ye…

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-ye…

ParamètreTypeDescription
year*integerModel year (e.g., 2023)
make*stringVehicle make (e.g., "Toyota", "Honda")
model*stringVehicle model (e.g., "RAV4", "Civic")
get_vehicle_historyGet 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 mark…

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 mark…

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
dealers_nearFind 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 h…

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 h…

ParamètreTypeDescription
zipstring5-digit US ZIP code (e.g., 92688)
latnumberLatitude coordinate
lngnumberLongitude coordinate
citystringCity name
statestring2-letter US state code (e.g., CA, TX)
countystringCounty name
radiusintegerSearch radius in miles (1-250, default: 50)
limitintegerMaximum number of dealers to return (1-200, default: 50)
offsetintegerNumber of results to skip for pagination
dealer_inventoryBrowse 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,…

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,…

ParamètreTypeDescription
dealerId*stringDealer identifier (UUID or slug like "rsm-honda")
makestringVehicle make
modelstringVehicle model
trimstringTrim level
year_minintegerMinimum model year
year_maxintegerMaximum model year
price_minintegerMinimum price in USD
price_maxintegerMaximum price in USD
mileage_maxintegerMaximum mileage
body_typestringVehicle body style
fuel_typestringFuel type
transmissionstringTransmission type
drivetrainstringDrivetrain configuration
conditionstringVehicle condition
certifiedbooleanFilter for CPO vehicles
limitintegerMaximum number of results to return (1-100, default: 25)
offsetintegerNumber of results to skip for pagination
sortstringSort order
viewstringResponse detail: standard (features/gallery, default), llm (compact), minimal
compare_vehiclesCompare 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 c…

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 c…

ParamètreTypeDescription
vins*arrayList of VINs to compare (2-5 vehicles)
get_deal_scoreGet 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…

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…

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
get_market_overviewGet 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

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

ParamètreTypeDescription
makestringFilter by vehicle make
typestringFilter by vehicle type
get_market_segmentGet 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…

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…

ParamètreTypeDescription
modelcode*stringModel code identifier (unique per make/model/year combination)
yearintegerModel year
typestringVehicle type
certifiedbooleanFilter for certified vehicles
list_market_segmentsBrowse market segments with pricing statistics (modelcode, median price, sample size). Use to discover modelcodes for get_market_segment / get_market_trends.

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

ParamètreTypeDescription
makestring
modelcodestring
pageinteger
limitinteger
minSampleSizeinteger
get_market_trendsPrice trends over time for a market segment (modelcode). Returns timeline of median/avg prices and days-on-lot.

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

ParamètreTypeDescription
modelcode*stringMarket segment modelcode
yearinteger
typestringVehicle type (New or Used)
certifiedboolean
daysinteger
get_market_velocityHow quickly vehicles sell by segment (fastest/slowest days on lot). Optional make/type filters.

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

ParamètreTypeDescription
makestring
typestringVehicle type (New or Used)
limitinteger
compare_marketCompare pricing across market segments. Provide modelcodes[] or make (optionally with model).

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

ParamètreTypeDescription
modelcodesarray
makestring
modelstring
yearinteger
typestringVehicle type (New or Used)
get_suggested_ratesNational average suggested auto loan APRs (not a credit offer). Optional filters: condition (new/used), term_months (36–84), credit_tier.

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

ParamètreTypeDescription
conditionstring
term_monthsnumber
credit_tierstring
research_modelGet 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 o…

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 o…

ParamètreTypeDescription
make*stringVehicle make slug or name (e.g., "honda", "mercedes-benz")
model*stringVehicle model slug or name (e.g., "civic", "e-class")
yearintegerModel year (defaults to the latest year with reference data)
compare_modelsCompare 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…

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…

ParamètreTypeDescription
models*arrayComposite make-model slugs to compare (e.g., ["honda-civic", "toyota-corolla"])
yearintegerModel year (defaults to the latest year with reference data)
get_vehicle_rankingsGet 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…

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…

ParamètreTypeDescription
categorystringRanking category slug (e.g., "best-suvs"). Omit to list all available categories.
get_similar_vehiclesFind 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 `d…

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 `d…

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
limitinteger
ui_select_vehicleApp-only: record a vehicle selection from the results widget. Not for model use — hosts filter via _meta.ui.visibility.

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

ParamètreTypeDescription
vin*string17-character Vehicle Identification Number
namestring
urlstring
yearinteger
makestring
modelstring
ui_page_vehicle_resultsApp-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.

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.

ParamètreTypeDescription
sourcestringWhich model-facing tool path to reuse for this page request
qstring
makestring
modelstring
trimstring
colorstring
year_mininteger
year_maxinteger
price_mininteger
price_maxinteger
mileage_maxinteger
body_typestringVehicle body style
fuel_typestringFuel type
transmissionstringTransmission type
drivetrainstringDrivetrain configuration
conditionstringVehicle condition
certifiedboolean
zipstring5-digit US ZIP code (e.g., 92688)
latnumberLatitude coordinate
lngnumberLongitude coordinate
citystring
statestring2-letter US state code (e.g., CA, TX)
countystring
radiusintegerSearch radius in miles (1-250, default: 50)

27 outils sur 27 ont publié une description.

Les noms et descriptions d’outils sont écrits par l’éditeur et affichés tels quels, comme du texte inerte. Ce sont les chaînes qu’un client MCP transmet à un modèle, alors Forge y recherche des motifs d’injection de prompt — tout constat apparaît avec l’analyse de sécurité ci-dessus. « Privilégié » est une correspondance de mot-clé sur le nom de l’outil, pas un audit de ce qu’il fait : un nom anodin peut tout de même tout faire.

À propos

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

Mots-clés
mcp
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Aucune couverture des dépendances

Cette entrée ne publie aucun paquet npm : Forge n'a donc pas d'arbre de dépendances pour elle. C'est une lacune de couverture — pas une affirmation qu'elle n'a aucune dépendance.