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
- 01Daily benchmarks for three languages
- 02Rank models by score, price, and speed
- 03Track model performance history
- 04Recommend models by task and budget
- 05Weekly trends and reliability summaries
Use cases
- 01Compare models for Norwegian writing
- 02Review a model's Swedish score trends
- 03Find a budget-friendly Danish model
- 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.
https://mcp.hvilkenai.no/mcpclaude mcp add --transport http hvilkenai https://mcp.hvilkenai.no/mcp{"mcpServers":{"hvilkenai":{"type":"http","url":"https://mcp.hvilkenai.no/mcp"}}}Open in Cursor{"servers":{"hvilkenai":{"type":"http","url":"https://mcp.hvilkenai.no/mcp"}}}Open in VS Code{"mcpServers":{"hvilkenai":{"type":"http","url":"https://mcp.hvilkenai.no/mcp"}}}{"mcpServers":{"hvilkenai":{"serverUrl":"https://mcp.hvilkenai.no/mcp"}}}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| Parameter | Type | Required | Description |
|---|---|---|---|
| tier | enum | No | Filter by price tier. Default: allall | premium | midrange | budget |
| language | enum | No | Language for benchmark (no=norsk, sv=svensk, da=dansk). Default: nono | sv | da |
Details
From the project READMEhvilkenAI 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.