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io.github.7nashinick/norwegian-data-mcp

PYPI · NORWEGIAN-DATA-MCP · SCANNED SEP 20

Norwegian public data: companies, statistics, exchange rates, addresses, property. Zero API keys.

Available components

−12 this week 65 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 1 of 32 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability72
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2177 tokens (~155/item across 14 items; 14 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management77
  • Stability observed for 23 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage91
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 68% of tool parameters carry a description.Partial
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 14 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the io.github.7nashinick/norwegian-data-mcp server?

io.github.7nashinick/norwegian-data-mcp runs locally as a PyPI package, launched with uvx norwegian-data-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · norwegian-data-mcp

# add to Claude Code
claude mcp add 7nashinick-norwegian-data-mcp -- uvx norwegian-data-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "7nashinick-norwegian-data-mcp": {
      "command": "uvx",
      "args": [
        "norwegian-data-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "7nashinick-norwegian-data-mcp": {
      "command": "uvx",
      "args": [
        "norwegian-data-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add 7nashinick-norwegian-data-mcp -- uvx norwegian-data-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "7nashinick-norwegian-data-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "norwegian-data-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add 7nashinick-norwegian-data-mcp --command uvx --arg norwegian-data-mcp
# ~/.hermes/config.yaml
mcp_servers:
  7nashinick-norwegian-data-mcp:
    command: "uvx"
    args: ["norwegian-data-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "7nashinick-norwegian-data-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "norwegian-data-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add 7nashinick-norwegian-data-mcp -t stdio -c uvx -a norwegian-data-mcp
// mcp.json
{
  "mcpServers": {
    "7nashinick-norwegian-data-mcp": {
      "command": "uvx",
      "args": [
        "norwegian-data-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 −14
    • Malware scan: pass → unverified security
  • 18 Sept 26 +15
    • Malware scan: unverified → pass security
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
  • 16 Sept 26 +15
    • Malware scan: unverified → pass security
  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/norwegian-data-mcp@0.2.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 32 packages
Packages resolved 32
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 14 exposed · ~2,104 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_company ~124

Full record for one Norwegian company by its 9-digit organisation number (orgnr): registered name, business and postal address, industry codes with text, organisational form, employee count, registration dates, VAT registration, bankruptcy/dissolution status, institutional sector. Falls back to sub-unit (underenhet) lookup if the orgnr is a business location rather than a legal entity. Use search_companies first if you only have a name. Example: orgnr='923609016' (Equinor ASA).

NameTypeReqDescription
orgnrstringyes9-digit organisation number

Structured output declared, but exposes no named fields.

No examples provided.

get_company_financials ~159

Latest filed annual accounts (aarsregnskap) for a Norwegian company from Regnskapsregisteret: revenue (driftsinntekter), operating profit (driftsresultat), net result (aarsresultat), total assets (sumEiendeler), equity (egenkapital), debt split, accounting period and currency. Only the most recent filed year is available; a link to the official annual-report PDF is included. Answers 'what was X's revenue/profit'. Not available for all entities (sole proprietorships may not file); a clear 'no accounts filed' answer is returned, not an error. Example: orgnr='923609016'.

NameTypeReqDescription
orgnrstringyes9-digit organisation number

Structured output declared, but exposes no named fields.

No examples provided.

get_company_roles ~125

Board and management of a Norwegian company by orgnr: chair (styrets leder), board members, CEO (daglig leder), auditor (revisor), with names and resignation flags. Answers 'who is on the board of X', 'who runs X', 'who audits X'. Data from Enhetsregisteret; role holders can be persons or companies. Example: orgnr='923609016'.

NameTypeReqDescription
include_birth_datesbooleanInclude role holders' birth dates (public data, omitted by default)
orgnrstringyes9-digit organisation number

Structured output declared, but exposes no named fields.

No examples provided.

get_exchange_rates ~136

Daily NOK exchange rates from Norges Bank (the central bank). Pass ISO currency codes; every column is normalized to NOK per 1 unit of the currency, most recent `periods` business days. Use for 'USD/NOK rate', 'how has the krone moved against the euro'. For interest rates use get_key_series(series='interest_rates') instead. Example: currencies=['USD', 'EUR'], periods=30.

NameTypeReqDescription
currenciesarrayyesISO 4217 codes, e.g. ['USD', 'EUR', 'SEK', 'GBP']
periodsintegerNumber of most recent business days

Structured output declared, but exposes no named fields.

No examples provided.

get_group_structure ~111

Registered group structure (konsern) for a Norwegian company by orgnr: the parent and its subsidiaries as a nested tree with ownership stakes (eierandel). Answers 'what companies does X own', 'is X part of a group', 'who are X's subsidiaries'. Companies outside a registered group get a clear answer, not an error. Example: orgnr='923609016' (Equinor) returns its subsidiary tree.

NameTypeReqDescription
orgnrstringyes9-digit organisation number

Structured output declared, but exposes no named fields.

No examples provided.

get_key_series ~144

One-call shortcut for Norway's most-requested numbers, no table IDs needed: cpi (consumer price index + 12-month inflation), population, unemployment (LFS, seasonally adjusted), house_prices (existing-dwellings index), wages (average monthly earnings), interest_rates (NIBOR + Norges Bank policy rate). Returns the last `periods` observations. Use for 'what is inflation in Norway', 'Norway's population', 'Norwegian interest rates' instead of the search/info/fetch chain. Example: series='cpi', periods=24.

NameTypeReqDescription
periodsintegerNumber of most recent observations
seriesstringyes

Structured output declared, but exposes no named fields.

No examples provided.

get_place ~105

Search official Norwegian place names (stedsnavn): mountains, lakes, valleys, farms, islands, neighborhoods. Returns name, type (navneobjekttype), municipality, and coordinates. Use when the target is not a street address; for street addresses use search_address. Example: query='Galdhøpiggen'. Example: query='Preikestolen'.

NameTypeReqDescription
limitinteger
querystringyesPlace name, wildcard * allowed

Structured output declared, but exposes no named fields.

No examples provided.

get_property ~193

Locate a Norwegian cadastral property (matrikkelenhet) by matrikkel number: kommunenummer + gardsnummer/bruksnummer (gnr/bnr), e.g. from a search_address result. Returns the property's representation point (lat/lon) and optionally its boundary polygon (GeoJSON). NOTE: Norway's open APIs do not expose owners, buildings, or valuations; those require a licensed Matrikkel agreement, so say so rather than guessing. Example: kommunenummer='0301', gardsnummer=207, bruksnummer=100.

NameTypeReqDescription
bruksnummerintegeryesHolding number (bnr)
festenummerLeasehold number (fnr), if any
gardsnummerintegeryesFarm number (gnr)
include_boundarybooleanInclude GeoJSON boundary polygon (larger response)
kommunenummerstringyes4-digit municipality code

Structured output declared, but exposes no named fields.

No examples provided.

get_statistics ~211

Fetch numbers from an SSB table as a compact CSV table. With no selection, sensible defaults apply: totals where the table allows it and the last 12 periods, good for 'recent trend' questions. For breakdowns, pass selection mapping variable codes (from get_table_info) to value-code lists; expressions allowed: ['from(2020M01)'], ['top(24)'], ['*'] (all). If the table is closed, its successor is used or suggested in hints. Example: table_id='14700' (CPI) with no selection returns the last 12 months. Example: table_id='07459', selection={'Region': ['0301'], 'Tid': ['top(5)']} returns Oslo population for the last 5 years.

NameTypeReqDescription
langstring
selectionvariableCode -> value codes or expressions from(...) / top(n) / *
table_idstringyesSSB table ID, e.g. '14700'

Structured output declared, but exposes no named fields.

No examples provided.

get_table_info ~124

Structure of one SSB table before fetching data: its variables (dimensions), the value codes each accepts, time span, and any successor table if this one is closed. Use between search_statistics and get_statistics when you need a specific breakdown (region, industry, age group); skip it when defaults are fine (totals, recent periods). Example: table_id='07459' shows Region, Kjonn (sex), Alder (age), Tid (time) and their codes.

NameTypeReqDescription
table_idstringyesSSB table ID, e.g. '07459'

Structured output declared, but exposes no named fields.

No examples provided.

reverse_geocode ~103

Nearest official Norwegian addresses to a coordinate. Returns addresses with distance in meters, municipality, and cadastral identifiers. Use for 'what address is at lat X, lon Y' or to anchor GPS positions. Example: lat=59.9139, lon=10.7522, radius=100.

NameTypeReqDescription
latnumberyes
limitinteger
lonnumberyes
radiusintegerSearch radius in meters

Structured output declared, but exposes no named fields.

No examples provided.

search_address ~159

Search official Norwegian addresses. Returns matched addresses with coordinates (lat/lon, EPSG:4258), municipality (kommune), postal code/place, and cadastral identifiers (gardsnummer/bruksnummer, i.e. gnr/bnr), so this also resolves address to property ID in one call. Handles partial input and typos. Use for 'where is <address>' and as the first step before get_property. For place names that are not street addresses (mountains, lakes, farms), use get_place. Example: query='Karl Johans gate 22, Oslo'.

NameTypeReqDescription
kommunenummerOptional 4-digit municipality filter
limitinteger
querystringyesFree-text address, partial OK

Structured output declared, but exposes no named fields.

No examples provided.

search_companies ~273

Search the Norwegian company register (Enhetsregisteret) by name and/or filters. Returns up to `limit` companies with orgnr (9-digit organisation number), organisational form, address, industry code (naeringskode, NACE), employee count, and status flags (konkurs = bankrupt, underAvvikling = being dissolved). Use when the user names a company without an orgnr or asks 'find companies that...'. If you already have an orgnr, call get_company instead. Example: name='Equinor'. Example: naeringskode='11.05' (breweries), kommunenummer='0301' (Oslo), min_employees=10.

NameTypeReqDescription
kommunenummer4-digit municipality code, e.g. '0301' = Oslo
konkurstrue = only bankrupt companies
limitinteger
max_employees
min_employees
naeringskodeNACE industry code, e.g. '11.05' or prefix '62'
nameCompany name, full or partial
organisasjonsforme.g. 'AS' (Ltd), 'ASA' (Plc), 'ENK' (sole prop.)
pageinteger

Structured output declared, but exposes no named fields.

No examples provided.

search_statistics ~137

Search Statistics Norway's ~7,000 statistical tables by keyword. Returns table IDs with titles, time coverage, and last-updated dates. Always the first step for statistics questions unless get_key_series covers it (CPI, population, unemployment, house prices, wages, interest rates; use that instead, it is one call). After finding a table, call get_table_info to see its variables, then get_statistics to fetch numbers. Example: query='electricity prices household'. Example: query='innvandring' (Norwegian works too).

NameTypeReqDescription
limitinteger
querystringyesKeywords, English or Norwegian

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the io.github.7nashinick/norwegian-data-mcp server?

io.github.7nashinick/norwegian-data-mcp is listed in the public MCP registry as io.github.7nashinick/norwegian-data-mcp. Norwegian public data: companies, statistics, exchange rates, addresses, property. Zero API keys. This page covers its PyPI package (norwegian-data-mcp).

Is the io.github.7nashinick/norwegian-data-mcp server safe to use?

io.github.7nashinick/norwegian-data-mcp scores 65 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.7nashinick/norwegian-data-mcp server expose?

io.github.7nashinick/norwegian-data-mcp exposes 14 tools: search_companies, get_company, get_company_roles, get_company_financials, get_group_structure, and 9 more. Their descriptions and schemas cost roughly 2,104 tokens of context every time the server is loaded.

Is the io.github.7nashinick/norwegian-data-mcp server still maintained?

io.github.7nashinick/norwegian-data-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.7nashinick/norwegian-data-mcp server under?

io.github.7nashinick/norwegian-data-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.