# Opendealer MCP server

Source: https://glimind.com/server/mcp-registry%2Fapp.opendealer%2Fmcp
Registry id: `mcp-registry/app.opendealer/mcp`
Status: live (checked 2026-10-26T22:07:23.224Z)

## Measurements (30 days)

- Uptime: 100%
- Checks: 4974
- Outages (90 days): 3

## Install

```json
{
  "mcpServers": {
    "opendealer-mcp-server": {
      "type": "http",
      "url": "https://mcp.opendealer.app/rpc"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http opendealer-mcp-server https://mcp.opendealer.app/rpc
```

## Tools (26)

- `check_recalls`: Open safety recalls for a listing. Pass vertical when the request names one. Cars use NHTSA (year, make, and model; a campaign may not apply to every VIN). Off-
- `compare_market`: Compare pricing across market segments. Provide cohortKeys or make (optionally with model).
- `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
- `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:
- `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 gu
- `dealers_near`: Find dealerships near a location. Location modes (choose ONE): • zip + radius (miles) • lat + lng + radius • city + state + radius • county + state + radius Ret
- `filter_vehicles`: Preferred structured inventory lookup when make/model/year/color/location are known. Exact hard filters only via GET /v1/vehicles (same Meilisearch collection a
- `get_deal_score`: Pass vertical when the request names one. Use the vertical facet to narrow a blended result. Skip a tool that has no data for that vertical. Get AI-powered deal
- `get_dealer`: Get comprehensive information about a specific dealership. Returns Google-enriched dealer knowledge optimized for assistants: • Name, address, phone, website • 
- `get_market_overview`: Pass vertical when the request names one. Use the vertical facet to narrow a blended result. Skip a tool that has no data for that vertical. Get high-level mark
- `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 prici
- `get_market_trends`: Price trends over time for a market segment (cohortKey). 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.
- `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-te
- `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
- `get_suggested_rates`: National average suggested auto loan APRs for cars (not a credit offer). Other verticals return "Not available for this vertical" until that vertical has a rate
- `get_vehicle`: Get complete details for a specific vehicle by listingId or VIN. When a VIN is listed at multiple dealer rooftops, a VIN-only lookup returns an envelope of ever
- `get_vehicle_history`: Pass vertical when the request names one. Use the vertical facet to narrow a blended result. Skip a tool that has no data for that vertical. Get OpenDealer list
- `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.,
- `list_facets`: Discover canonical filter tokens and counts from the live search index (same values GET /v1/vehicles accepts: make, bodyType e.g. suv, fuelType e.g. gasoline, t
- `list_market_segments`: Browse market segments with pricing statistics (cohortKey, median price, sample size). Use cohortKey with get_market_segment / get_market_trends.
- `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.
- `list_verticals`: Live shopper verticals: key, label, host, identifier kind, example classes, which tool families work, and whether the vertical is public. Reserved hosts are omi
- `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 M
- `search_vehicles`: Forgiving vehicle search (Meilisearch): natural-language q, typo-tolerant make/model/color, optional structured filters. Use when the shopper query is fuzzy or 

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.