Connect-MCP

VegvisAI guide

ai.vegvis/vegvisai · v1.5.1

Open guide to businesses in any country, plus Norwegian public services and parties. Never ranks.

MCPremoteno credentialsWeb search & scrapingLaw & governmentFiles & storage

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 5 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 5 tools · 5 read, 0 write · Web search & scraping, Law & government, Files & storage

Test call find_public_help: worked (994 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://vegvis.ai/mcp

Tools

5 tools listed at last check
  • find_public_help Returns 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_party For 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's
  • check_business Looks up a Norwegian business in Enhetsregisteret by organisation number or name: name, legal form, industry, address, bankruptcy or winding-up.
  • find_business Finds 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 guide
  • ai_check Checks 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

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