hvilkenAI MCP Server
Daily Scandinavian AI benchmark — Norwegian, Swedish, Danish. 12+ models tested.
Documentation
hvilkenAI MCP Server
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.
| Parameter | Type | Values | Default |
|---|---|---|---|
language | string | no, sv, da | no |
tier | string | all, premium, midrange, budget | all |
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.
| Parameter | Type | Values | Default |
|---|---|---|---|
model_name | string | Model name or partial match, e.g. "Claude Sonnet", "GPT-4o", "gemini" | (required) |
language | string | no, sv, da | no |
days | number | 1–30 (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.
| Parameter | Type | Values | Default |
|---|---|---|---|
language | string | no, sv, da | no |
Returns: Models ranked by combined language quality and instruction-following ability.
get_recommendation
Get a model recommendation tailored to your specific needs and budget.
| Parameter | Type | Values | Default |
|---|---|---|---|
use_case | string | writing, coding, research, agent, general | general |
language | string | no, sv, da | no |
budget | string | free, cheap, any | any |
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.
| Parameter | Type | Values | Default |
|---|---|---|---|
language | string | no, sv, da | no |
week | string | Format 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
- 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