ny-dmv

ny-dmv

Enables querying New York State DMV data including vehicle registrations, EV adoption, offices, road test sites, driving schools, and licensed facilities, with keyless access to public datasets.

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@pipeworx/ny-dmv

New York State DMV MCP — registered vehicles and EV adoption, DMV offices, road test sites, licensed driving schools, and the DMV-licensed facility register. Keyless.

Tools

Tool What it returns
ny_dmv_vehicle_registrations(...) Counts of registration records by county, ZIP, city, make, model year, body type, registration class or fuel, from the 12.6M-row record-level file. Also filters on scofflaw / suspension / revocation flags.
ny_dmv_ev_adoption(...) ELECTRIC-fuel registration counts plus an EV share of all registered vehicles, per county / ZIP / city / make / model year.
ny_dmv_offices(...) 175 NYS DMV offices with address, public phone, weekday hours and coordinates.
ny_dmv_road_test_sites(...) 444 active road test sites with the test types each administers and written directions to the starting point.
ny_dmv_driving_schools(...) 573 DMV-licensed driving schools with school number, phone and the courses each is licensed to teach.
ny_dmv_licensed_facilities(...) 54,563 DMV-licensed businesses — inspection stations, repair shops, dealers, dismantlers — searchable, or counted by county / city / ZIP / licence type.

Auth

Keyless. All five datasets are public Socrata resources on data.ny.gov; no app token is required at the volumes this pack issues.

Per-state gotchas

  • record_type is the first thing to get right. w4pv-hbkt mixes road vehicles (VEH, 11.4M rows) with trailers (TRL), boats (BOAT) and snowmobiles (SNOW). Every registration query defaults to VEH; an unfiltered sum is a fleet of things, not a fleet of cars.
  • County names are unabbreviated and upper case, and NYC boroughs use the county name. Brooklyn is KINGS, Manhattan is NEW YORK, Staten Island is RICHMOND. The Bronx and Queens keep their names.
  • make is truncated to five characters. Toyota is stored as TOYOT, Chevrolet as CHEVR, Volkswagen as VOLKS. Three makes collapse to a slash form instead: ME/BE (Mercedes-Benz), HA/DA (Harley-Davidson), LA/RO (Land Rover). The pack cuts and aliases the caller's make automatically, so pass the everyday name.
  • New York has one ELECTRIC fuel code. Battery-electric and plug-in hybrid vehicles are not separable in this source. Washington splits them — see wa_dmv_ev_population.
  • The facility register spells counties differently from the registration file. nhjr-rpi2 stores the first four letters of the county with spaces removed: SUFF, NASS, NEWY. The pack accepts either spelling.
  • The facility register keeps expired licences. Rows carry an expiration_date, and some are years past. Check it before treating a row as a currently valid licence.
  • A facility holds one row per licence. A repair shop that is also a public inspection station appears once under RS and once under ISP, so licence counts exceed the number of distinct businesses.
  • sum_of_returned_rows is not a total. Row lists are cut off by limit; total_vehicles (a separate full count over the same filters) is the figure to quote.

Data sources

  • Registrations — https://data.ny.gov/resource/w4pv-hbkt.json (Vehicle, Snowmobile and Boat Registrations)
  • Offices — https://data.ny.gov/resource/9upz-c7xg.json (DMV Office Locations)
  • Road test sites — https://data.ny.gov/resource/n6g4-x6f5.json (DMV Road Test Sites)
  • Driving schools — https://data.ny.gov/resource/3p6i-cv8y.json (DMV Driving Schools)
  • Licensed facilities — https://data.ny.gov/resource/nhjr-rpi2.json (Facilities Licensed by the DMV)

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "ny-dmv": {
      "url": "https://gateway.pipeworx.io/ny-dmv/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1392+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about New York State DMV data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

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