io.github.pipeworx-io/wa-dmv MCP Server

The io.github.pipeworx-io/wa-dmv Model Context Protocol (MCP) server provides access to Washington DMV/DOL data focused on VIN-level EV population and monthly vehicle registration transactions. It is organized under MCP and PipeWorx-related topics and is described with a concise, data-specific scope.

🛠️ Key Features

VIN-level EV population data
Monthly vehicle registration transactions
MCP server package under the io.github.pipeworx-io/wa-dmv identifier

🚀 Use Cases

Querying EV population information at the VIN level for Washington
Tracking and analyzing monthly vehicle registration transaction trends

⚡ Developer Benefits

Clear data domain targeting Washington DMV/DOL EV and registration datasets
Fits MCP workflows with server topics including mcp and model-context-protocol

⚠️ Limitations

Available metadata is limited to the provided description and topics; no additional tooling, schema, or interface details are specified.

@pipeworx/wa-dmv

Washington State DMV MCP — the Department of Licensing's VIN-level electric-vehicle population and its monthly vehicle-registration transaction counts. Keyless.

Washington has no agency called "the DMV": vehicle registration and driver licensing are run by the Department of Licensing (DOL). Both names appear in the tool descriptions because agents search for "WA DMV".

Tools

Tool	What it returns
`wa_dmv_ev_population(...)`	Counts of registered electric vehicles by county, city, ZIP, make, model, model year, legislative district, electric utility or drivetrain, with BEV/PHEV split and average electric range. A true fleet snapshot — one source row per registered vehicle.
`wa_dmv_registration_transactions(...)`	Registration transactions (new registrations and renewals) for one fiscal year or one calendar month, by owner county, transaction county, fuel type, use class or month.

Auth

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

Per-state gotchas

hmzg-s6q4 counts transactions, not vehicles. This is the trap in this state. King County processes roughly 160,000 registration transactions a month, so summing every month back to fiscal 2017 returns 17.6M for one county — arithmetically correct and completely misleading. wa_dmv_registration_transactions therefore pins every query to one fiscal year (the latest by default) or one calendar month, and labels the result "registration transactions during <period>". For the size of a registered fleet, use wa_dmv_ev_population.
Washington fiscal years run July 1 – June 30. Fiscal 2026 covers July 2025 through June 2026. Data starts at fiscal 2017.
The month column stores the last day of the month. Filter it with date_trunc_ym, which the month argument (YYYY-MM) does for you; results are reported back as YYYY-MM.
Case differs by column. Counties and cities are plain mixed case (King, Seattle); makes and models are upper case (TESLA, MODEL 3).
Roughly two-thirds of EV rows carry electric_range 0. 188,456 of 289,564 vehicles sit in the "Eligibility unknown as battery range has not been researched" CAFV bucket with a literal zero range, which drags any average down. The genuinely researched vehicles average ~133 miles. Treat average_electric_range_miles as a floor, not a spec.
Socrata reports an all-zero average as the string "0E-24". The shared govNumber helper strips exponent notation into NaN, so this pack parses averages with its own avgMiles.
ev_type has exactly two values, spelled in full: Battery Electric Vehicle (BEV) and Plug-in Hybrid Electric Vehicle (PHEV). The ev_type argument accepts BEV / PHEV / plain phrases.
sum_of_returned_rows is not a total. Row lists are cut off by limit; total_electric_vehicles and total_transactions_in_period are separate full counts over the same filters and are the figures to quote.

Data sources

EV population — https://data.wa.gov/resource/f6w7-q2d2.json (Electric Vehicle Population Data)
Registration transactions — https://data.wa.gov/resource/hmzg-s6q4.json (Vehicle Registration Transactions by County)

Quick Start

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

json

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

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

json

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

Using with ask_pipeworx

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

code

ask_pipeworx({ question: "your question about Washington DMV (Dept of Licensing) data" })

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

License

MIT

question	string	required	Your question or request in natural language. Accepts query, q, prompt, text, input as aliases.
query	string	optional	Alias for question.
q	string	optional	Alias for question.
prompt	string	optional	Alias for question.
text	string	optional	Alias for question.
input	string	optional	Alias for question.

question	string	required	Your question or request in natural language. Accepts query, q, prompt, text, input as aliases.
query	string	optional	Alias for question.
q	string	optional	Alias for question.
prompt	string	optional	Alias for question.
text	string	optional	Alias for question.
input	string	optional	Alias for question.

question	string	required	Your question in natural language. Accepts query, q, prompt, text, input as aliases.
query	string	optional	Alias for question.
q	string	optional	Alias for question.
prompt	string	optional	Alias for question.
text	string	optional	Alias for question.
input	string	optional	Alias for question.

query	string	required	Natural language description of what you want to do (e.g., "analyze housing market trends", "look up FDA drug approvals", "find trade data between countries"). Accepts task, q, description, search as aliases.
task	string	optional	Alias for query.
q	string	optional	Alias for query.
description	string	optional	Alias for query.
search	string	optional	Alias for query.
limit	number	optional	Maximum number of tools to return (default 20, max 50)

type	string	required	Subscription type.
params	object	required	Type-specific filter. sec_8k: {ticker:"AAPL", items?:["5.02","1.01"]}. polymarket_edge: {topic:"fed", min_spread_bps?:500}. fred_series: {series_id:"UNRATE"}. patent_grant: {applicant:"Apple Inc."}. clinical_trial: {sponsor?:"Pfizer", condition?:"lung cancer", phase?:"PHASE3"} (sponsor or condition required).
delivery	object	optional	Optional delivery channels in addition to the always-on persistent feed. {email:"you@x.com"} sends a templated alert per fired event. {sms:"+15551234567"} sends an SMS per event — must match the verified phone on the caller's account (verify at https://pipeworx.io/account first; 10/day cap). {webhook:"https://..."} POSTs each event JSON to your endpoint, HMAC-signed — the response includes delivery.webhook_secret (whsec_…) ONCE; verify X-Pipeworx-Signature = sha256 HMAC of "<X-Pipeworx-Timestamp>.<raw body>". Auto-disabled after 10 consecutive failing runs.

claim	string	required	Natural-language factual claim, e.g., "Apple's FY2024 revenue was $400 billion" or "Microsoft made about $100B in profit last year".
tolerance_pct	number	optional	Max percent deviation still graded approximately_correct (0.5–50). Overrides the tolerance implied by the claim wording — set 1–2 for hallucination detection where any material error must be refuted. Default: implied by wording, capped at 5.

package	string	required	npm package name. Scoped packages (e.g. "@types/node") are accepted.
version	string	optional	Specific version to check (e.g., "18.3.1"). Defaults to the latest published version when omitted.

market	string	required	Polymarket slug ("will-bitcoin-hit-150k-by-june-30-2026"), full URL ("https://polymarket.com/event/..."), or question text ("Will Bitcoin hit $150k by June 30?")
depth	string	optional	quick = 2-3 evidence sources, thorough = full fan-out. Default thorough.
include_raw	boolean	optional	Default false. When false (recommended), FRED/FDA/GDELT/Federal-Register evidence is summarized to the few fields agents actually use — keeps responses under ~20KB. Pass true to get full upstream payloads (50KB-500KB) when you need to recompute deltas, cite specific observations, or post-process.

event	string	optional	Single-event mode (use this if you know the specific Polymarket event): event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k". Full Polymarket URLs also accepted.
topic	string	optional	Cross-event mode (use this if you want to scan related events across the platform): a topic or seed question like "Fed rate decision" or "Strait of Hormuz traffic returns to normal". Tool searches Polymarket for related events and checks monotonicity across them.

window	string	optional	Polymarket volume window to filter markets. Default 1wk.
limit	number	optional	Top N edges to return after ranking. Default 10, max 25.
min_edge_pp	number	optional	Minimum \|edge\| in percentage points to include (default 0.5). Edge is evaluated NET of slippage.
slippage_pp	number	optional	Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw \|edge\| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model.
category_filter	string	optional	Comma-separated list to restrict the output: "model_driven" (crypto_price + news_momentum), "structural_arbitrage" (partition_overround), "concentrated_longshot". Combine like "model_driven,structural_arbitrage". Default: all.
min_kelly	number	optional	Minimum half-Kelly fraction (as decimal, e.g. 0.005 = 0.5% of bankroll) to include single-leg opportunities. Default 0 (no filter). Skips opportunities that are too small to bet sensibly even if the edge is large.
min_partition_leg_kelly	number	optional	Minimum BEST per-leg half-Kelly fraction across a partition_overround opportunity's top_legs (or longshot_basket legs). Default 0 (no filter). Partition arbs always return kelly_fraction_half=0 at the parent level by design (basket trades don't compose to single-leg Kelly), so min_kelly never filters them — this knob applies to the per-leg Kelly inside top_legs instead. Use to suppress thin partitions whose individual leg edges aren't worth the per-leg slippage cost.
min_liquidity	number	optional	Tradeable-edge filter. Minimum $ liquidity on the representative market (or for partition_overround, on at least one top_leg). Default 0 (no filter). Set to 5000 to drop thin-book opportunities where executing the edge would walk the book past breakeven.
max_spread_pp	number	optional	Tradeable-edge filter. Maximum bid/ask spread in percentage points on the representative market. Default null (no filter). Set to 2 to require tight books — anything wider eats most plausible edges.

days	number	optional	Lookback in days (default 14, clamp 2-30).
window	string	optional	Which polymarket_edges window family to read snapshots for: 24hr \| 1wk \| 1mo (default 1wk).

url	string	required	Full URL of the site to summarize, e.g. "https://example.com" or a specific landing page.
max_links	number	optional	Maximum number of link entries to include (default 25, max 50).

entity	string	required	The thing to ask about. Brand/business name, product name, person, or topic. E.g. "Pipeworx", "OpenInvoice", "Acme Corp pricing".
context	string	optional	Optional: a phrase locating the entity (e.g. "Boston restaurant", "B2B SaaS"). Helps disambiguate common names.
models	array	optional	Which models to probe. Supported: "workers-ai" (free default), "anthropic" (requires _apiKey). Omit for just workers-ai.
_apiKey	string	optional	Optional Anthropic API key (sk-ant-...) — only needed if "anthropic" is in models. Passed straight through to api.anthropic.com.

entities	array	required	Array of 2-8 entities to compare (brand/business/product names). First entry treated as the "subject" for narrative; rest are competitors.
context	string	optional	Optional shared context applied to every probe (e.g. "B2B SaaS", "Boston restaurant"). Disambiguates common names.
models	array	optional	Which models to probe. Supported: "workers-ai" (free default), "anthropic" (requires _apiKey). Omit for just workers-ai.
_apiKey	string	optional	Optional Anthropic API key — only if "anthropic" is in models. Passed to api.anthropic.com per probe.

key	string	required	Memory key (e.g., "subject_property", "target_ticker", "user_preference")
value	string	required	Value to store (any text — findings, addresses, preferences, notes)

question	string	required	The research question, in natural language. Broad/multi-part is fine — decomposition is the point.
depth	string	optional	How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan).

type	string	required	Entity type: "company" or "drug".
value	string	required	For company: ticker (AAPL), CIK (0000320193), or name. For drug: brand or generic name (e.g., "ozempic", "metformin").

type	string	required	Entity type: "company" or "drug".
values	array	required	For company: 2–5 tickers/CIKs (e.g., ["AAPL","MSFT"]). For drug: 2–5 names (e.g., ["ozempic","mounjaro"]).

type	string	required	Entity type. Only "company" supported today.
value	string	required	Ticker (e.g., "AAPL") or zero-padded CIK (e.g., "0000320193").
since	string	required	Window start — ISO date ("2026-04-01") or relative ("7d", "30d", "3m", "1y"). Use "30d" or "1m" for typical monitoring.

county	string	optional	Washington county in plain mixed case, e.g. "King", "Pierce", "Snohomish", "Spokane".
city	string	optional	City name in plain mixed case, e.g. "Seattle", "Bellevue", "Tacoma".
zip	string	optional	Five-digit ZIP code, e.g. "98052".
make	string	optional	Vehicle make, upper case in the source and matched as a substring, e.g. "TESLA", "CHEVROLET", "RIVIAN".
model	string	optional	Model name, upper case in the source and matched as a substring, e.g. "MODEL 3", "BOLT EV", "LEAF".
model_year	string	optional	Four-digit model year, e.g. "2025".
ev_type	string	optional	Drivetrain: "BEV" or "battery electric" for Battery Electric Vehicle (BEV), "PHEV" or "plug-in hybrid" for Plug-in Hybrid Electric Vehicle (PHEV).
legislative_district	string	optional	Washington legislative district number, e.g. "44".
group_by	string	optional	Breakdown dimension: county, city, zip, make, model, model_year, ev_type, cafv_type, legislative_district, electric_utility. Defaults to county.
limit	number \| string	optional	Max rows to return (default 25, max 200). Raise it to 39 to cover every Washington county.

io.github.pipeworx-io/wa-dmv MCP Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

ask_pipeworx

ask_pipeworx_beta

ask_pipeworx_grounded

search_within

deep_research

discover_tools

resolve_entity

compare_entities

subscribe

unsubscribe

list_subscriptions

recent_alerts

entity_profile

recent_changes

validate_claim

scan_dependency

bet_research

polymarket_arbitrage

polymarket_edges

polymarket_kalshi_spread

polymarket_fill_risk

polymarket_edge_tracker

pipeworx_trending

suggest_questions

generate_llms_txt

ai_visibility_check

scan_competitor_ai_presence

pipeworx_feedback

remember

recall

forget

wa_dmv_ev_population

wa_dmv_registration_transactions