bildata

Danish vehicle registration tax (registreringsafgift) calculator and DMR registration statistics

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Danish vehicle registration tax (registreringsafgift) calculator and DMR registration statistics

    How to connect

    How to connect bildata to Claude

    The server address to paste into Claude settings:

    https://bildata.io/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect bildata to ChatGPT

    The server address to paste into ChatGPT settings:

    https://bildata.io/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect bildata to Cursor

    The server address to paste into Cursor settings:

    https://bildata.io/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (6)

    Raw names from tools/list. Only developers need these.

    calculate_registreringsafgiftCalculate DANISH vehicle registration tax (registreringsafgift) for a new or used personbil, varebil or motorcykel under registreringsafgiftsloven. Same engine and validation as bildata.io's public calculator. Amounts in DKK; an estimate, not an official Motorstyrelsen valuation. REQUIRED PAIRS: condition="new" needs bruttovaerdi; condition="used" needs handelspris AND nypris (nypris is the used vehicle's own original price when new, not the new-vehicle price field). ALWAYS send co2 for a petrol, diesel or hybrid PERSONBIL or VAREBIL: an omitted co2 counts as 0 g/km, i.e. battery-electric, and makes the tax far too low with no error raised — zero on an ordinary car, and still only a fraction of the real figure on an expensive one. On motorcykel co2 does not select the drivetrain at all - isElectric does. Send every number as a JSON number (300000, not "300000"), use enum values exactly as listed, and OMIT an optional field you do not know rather than sending null.
    get_afgift_ratesMachine-readable Danish vehicle registration tax rates 2026–2029: skalaknæk (brackets), CO2 tiers, bundfradrag and EV/plug-in phase-in (indfasning) percentages per year. Identical to GET https://bildata.io/api/afgift-prognose/rates. 2027–2029 rates are provisional.
    forecast_registreringsafgiftProject DANISH registration tax for a NEW vehicle across rules-years 2026–2029 (the EV/plug-in phase-in schedule changes the tax each year). Returns per-year results and deltas vs 2026. Amounts in DKK. Estimates, not official valuations. NEW vehicles only, and always the whole 2026-2029 span: for a USED import, or for a single year, use calculate_registreringsafgift instead. Send every number as a JSON number (300000, not "300000").
    get_market_statsDanish new-vehicle registration statistics from bildata.io (weekly DMR data). Dimensions: fuel_type, brands (top 20), evs, imports (top imported makes), monthly_totals (last 12 months incl. leasing series), country_of_origin. kind=all covers every vehicle type; kind=Personbil passenger cars only. as_of is the data cutoff of the underlying extract — a month whose as_of is before month-end is PARTIAL. Market-level ONLY: the brands dimension is the top 20 brands and there is no per-model breakdown here — for a named MODEL use get_model_stats. It is NOT a way to get a brand total for a brand outside the top 20: a brand-only query there returns that brand's individual model rows (default 5, max 10, truncation disclosed in `note`) and defaults to kind=Personbil where this tool defaults to kind=all, so summing them does not reproduce a brand total from here.
    get_model_statsLook up Danish registration numbers for a SPECIFIC car model by name — e.g. "Tesla Model Y", "VW ID.4", "Skoda Enyaq". Covers every model since 2018. Use this when the question names a model or brand; get_top_models only covers the top sellers of one month, and get_market_stats only the top 20 brands. A model still selling returns period figures (this month, this year, last year, market share) plus all-time totals. A model with no registration in the last ~3 years returns ONLY lifetime totals and its first/last registration date — the period figures do not exist for it and are listed in `unavailableFields`; their absence is missing data, NOT zero sales. Spelling is forgiving (ID.4 = ID 4 = id4, Citroen = Citroën) and the response states which row it matched and how, so verify `name` before quoting the numbers.
    get_top_modelsTop-selling car models (and variants) in Denmark for a given month, from bildata.io's top-50 statistics (passenger cars, monthly, 12-month rolling window). Default: latest month, top 10. as_of is the data cutoff — if it is before month-end, the month is PARTIAL, not complete. A RANKING, bounded by the 12-month window. A model outside that month's top 50 is absent here — look that one up by name with get_model_stats. A month OLDER than the window cannot be answered by any tool on this server: get_model_stats reports fixed periods relative to today (this month, this year, last year, all-time), never an arbitrary past month.