mcpField
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Hvilkenai

Hvilkenai

Remote
github.com/erorundAI & Agents0Updated 20w ago
Repository

About Hvilkenai

Hvilkenai provides daily benchmark data on AI model quality for Norwegian, Swedish, and Danish. Its MCP server helps assistants compare models, track performance, and find recommendations using practical language tests.

Key features

  1. 01Daily benchmarks for three languages
  2. 02Rank models by score, price, and speed
  3. 03Track model performance history
  4. 04Recommend models by task and budget
  5. 05Weekly trends and reliability summaries

Use cases

  1. 01Compare models for Norwegian writing
  2. 02Review a model's Swedish score trends
  3. 03Find a budget-friendly Danish model
  4. 04Choose a model for agent orchestration

MCP support

The remote MCP server exposes benchmark, history, ranking, recommendation, and weekly summary tools to MCP clients. It is available over Streamable HTTP.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.hvilkenai.no/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

5
ParameterTypeRequiredDescription
tierenumNoFilter by price tier. Default: allall | premium | midrange | budget
languageenumNoLanguage for benchmark (no=norsk, sv=svensk, da=dansk). Default: nono | sv | da

Details

From the project README

hvilkenAI MCP Server

Glama Quality Score

Daily Scandinavian AI language quality benchmark — 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:

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

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

Claude Code (CLI)
claude mcp add --transport http hvilkenai https://mcp.hvilkenai.no/mcp
Cursor / VS Code
{
  "mcpServers": {
    "hvilkenai": {
      "url": "https://mcp.hvilkenai.no/mcp"
    }
  }
}
Direct API
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 — no API key required:

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

Pro — 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:

{
  "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 (Bokmål), 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

License

MIT

Comments

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