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Hvilkenai MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:53:01 PM

Hvilkenai MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Daily Scandinavian AI benchmark β€” Norwegian, Swedish, Danish. 12+ models tested.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "hvilkenai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "hvilkenai-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

hvilkenAI MCP Server

Glama Quality Score

Daily Scandinavian AI language quality benchmark β€” Norwegian, Swedish, Danish.

What this does

hvilkenAI benchmarks AI models daily on practical Scandinavian language tasks. 12+ models are tested every day, selected from a pool of over 350 AI models available through OpenRouter. This MCP server lets AI assistants access fresh benchmark data directly.

Use cases:

  • "Which AI is best at Norwegian right now?"
  • "Compare GPT-4o vs Claude on Swedish"
  • "What's the cheapest model that handles Danish well?"
  • "Show me how Gemini has performed this week"

Available tools

get_daily_benchmark

Get today's benchmark results for AI models on Scandinavian languages.

ParameterTypeValuesDefault
languagestringno, sv, dano
tierstringall, premium, midrange, budgetall

Returns: Model rankings with scores, pricing, and speed. Free tier returns yesterday's top 3; Pro returns today's full list.

get_model_history

Track a specific model's performance over time.

ParameterTypeValuesDefault
model_namestringModel name or partial match, e.g. "Claude Sonnet", "GPT-4o", "gemini"(required)
languagestringno, sv, dano
daysnumber1–30 (free tier: max 3)7

Returns: Daily scores and trends for the specified model.

get_orchestrator_ranking

Find the best model for AI agent orchestration and multi-agent systems.

ParameterTypeValuesDefault
languagestringno, sv, dano

Returns: Models ranked by combined language quality and instruction-following ability.

get_recommendation

Get a model recommendation tailored to your specific needs and budget.

ParameterTypeValuesDefault
use_casestringwriting, coding, research, agent, generalgeneral
languagestringno, sv, dano
budgetstringfree, cheap, anyany

Returns: Best model match with reasoning. Pro tier returns top 3 with full details.

get_weekly_summary

Get the weekly benchmark summary with trends and reliability analysis.

ParameterTypeValuesDefault
languagestringno, sv, dano
weekstringFormat YYYY-WW, e.g. "2026-21"current week

Returns: Winner, most reliable model, and key observations for the week.

Quick start

Claude Desktop

Add to your claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "hvilkenai": {
      "type": "streamablehttp",
      "url": "https://mcp.hvilkenai.no/mcp"
    }
  }
}

Claude Desktop supports OAuth 2.1 β€” you will be prompted to connect with free or Pro access when you first use the server.

Claude Code (CLI)

Terminal
claude mcp add --transport http hvilkenai https://mcp.hvilkenai.no/mcp

Cursor / VS Code

config.json
{
  "mcpServers": {
    "hvilkenai": {
      "url": "https://mcp.hvilkenai.no/mcp"
    }
  }
}

Direct API

Terminal
curl -X POST https://mcp.hvilkenai.no/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":1}'

Authentication

Free tier β€” no API key required:

  • 24-hour delayed data
  • Top 3 models per language
  • 100 requests/hour

Pro β€” requires API key (Bearer token):

  • Real-time data (updated daily at 07:30 CET)
  • All models, all languages
  • Historical data up to 30 days
  • Higher rate limits

Get an API key at hvilkenai.no/priser/

For Pro access, add your API key as a Bearer token:

config.json
{
  "mcpServers": {
    "hvilkenai": {
      "type": "streamablehttp",
      "url": "https://mcp.hvilkenai.no/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Example interaction

You: Which AI model is best at Norwegian today?

Claude (using hvilkenAI): Based on today's benchmark from hvilkenai.no, [model name] leads with a score of X.X, followed by...

About the benchmark

  • Updated daily at 07:30 CET
  • Three languages: Norwegian (BokmΓ₯l), Swedish, Danish
  • Practical tasks: Real-world language use, not academic tests
  • Broad coverage: 12+ models selected daily from over 350 AI models
  • Independent: No sponsorships, no affiliate deals
  • Proprietary methodology: Scoring uses a proprietary weighting system

Data source: hvilkenai.no

Links

  • Website: hvilkenai.no
  • Glama: glama.ai/mcp/servers/erorund/hvilkenai-mcp
  • Integrations page: hvilkenai.no/integrasjoner/
  • Server URL: https://mcp.hvilkenai.no/mcp
  • Health check: https://mcp.hvilkenai.no/health

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Hvilkenai MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "hvilkenai-mcp": { "command": "npx", "args": ["-y", "hvilkenai-mcp"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
29Quality signal: Emerging Β· 29/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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