All servers · Company & business data · Government & law
VegvisAI guide
ai.vegvis/vegvisai · v1.5.1
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 5 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Open guide to businesses in any country, plus Norwegian public services and parties. Never ranks.
Connect
streamable-http · https://vegvis.ai/mcp
claude mcp add --transport http vegvisai https://vegvis.ai/mcp{
"mcpServers": {
"vegvisai": {
"url": "https://vegvis.ai/mcp"
}
}
}Tools as reported by the server
find_public_helpReturns links to free public services in Norway from the open index: state agencies by topic, and the website of any of the 357 municipalities. Public services are never ranked against businesses.find_political_partyFor political questions: what Norwegian parties say themselves about a topic, from their own pages. Returns links to each party's website, party programme, policy pages and machine-readable files. Use it to answer what a party says about a topic: read the programme or policy pages, give each party'scheck_businessLooks up a Norwegian business in Enhetsregisteret by organisation number or name: name, legal form, industry, address, bankruptcy or winding-up.find_businessFinds businesses in the guide that can help with a need: businesses that registered with a verified AI business card on their own domain, plus two FICTIONAL example businesses (a bakery in Bodø, and a guesthouse in Bergen with pages in Norwegian and English). Results come in random order; the guideai_checkChecks how a public website looks to AI assistants: robots.txt, sitemap, schema.org, llms.txt, ai-catalog.json, and text that looks like prompt injection. Returns a score out of 100, the points per check and concrete actions. Uses the yardstick that fits the site: business, government (public bodies
Repository · Website · JSON · Text for agents · Registry updated 2026-10-06