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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "bildata": {
      "type": "http",
      "url": "https://bildata.io/mcp"
    }
  }
}

claude mcp add --transport http bildata https://bildata.io/mcp

[mcp_servers.bildata]
url = "https://bildata.io/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "bildata": {
      "type": "remote",
      "url": "https://bildata.io/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "bildata": {
      "type": "http",
      "url": "https://bildata.io/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=bildata&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYmlsZGF0YS5pby9tY3AifQ%3D%3D"
}

{
  "servers": {
    "bildata": {
      "type": "http",
      "url": "https://bildata.io/mcp"
    }
  }
}

{
  "mcpServers": {
    "bildata": {
      "httpUrl": "https://bildata.io/mcp"
    }
  }
}

extensions:
  "bildata":
    enabled: true
    name: "bildata"
    type: streamable_http
    uri: "https://bildata.io/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene71 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: calculate_registreringsafgift (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); forecast_registreringsafgift (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_model_stats (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,753 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes1 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

6 tools, about 2,753 tokens to load them all · tool set d28e95695430 · tools last changed 2026-10-06 · checked 2026-10-20 09:31 UTC

Tool changes

2026-10-06get_market_statschangeddescription
before
Danish 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.
after · 91% of words in common
Danish new-vehicle registration statistics from bildata.io (weekly DMR data). Dimensions: fuel_type, brands (top 20), evs, imports (vehicles brought in from abroad, by toldsyn date: counts, share, top 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.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository

provenance55

liveness100

freshness85

hygiene80

+dns-namespace +website +reachable +uptime-100% ~updated-53d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://bildata.io/mcp` streamable-http	none	yes	100%	393 ms	2025-11-25	2026-10-20

Tools (6)

`calculate_registreringsafgift`	Calculate 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.
`forecast_registreringsafgift`	Project 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_afgift_rates`	Machine-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.
`get_market_stats`	Danish new-vehicle registration statistics from bildata.io (weekly DMR data). Dimensions: fuel_type, brands (top 20), evs, imports (vehicles brought in from abroad, by toldsyn date: counts, share, top 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_stats`	Look 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_models`	Top-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.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.bildata/bildata",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "remotes": [
    {
      "url": "https://bildata.io/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://bildata.io",
  "description": "Danish vehicle registration tax (registreringsafgift) calculator and DMR registration statistics"
}