io.github.erorund/hvilkenai-mcp
Daily Scandinavian AI benchmark — Norwegian, Swedish, Danish. 12+ models tested.
Open source Repository Open in the app JSON README (API)
About
Daily Scandinavian AI benchmark — Norwegian, Swedish, Danish. 12+ models tested.
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- erorund
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 1.0.0
- Last push
- 2026-06-11T17:02:22Z
- Repository state
- ativo
- Added
- 2026-08-29 03:02:46
- Updated
- 2026-08-29 03:02:46
- Origin id
io.github.erorund/hvilkenai-mcp
README
# hvilkenAI MCP Server
[](https://glama.ai/mcp/servers/erorund/hvilkenai-mcp)
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`:
```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)
```bash
claude mcp add --transport http hvilkenai https://mcp.hvilkenai.no/mcp
```
### Cursor / VS Code
```json
{
"mcpServers": {
"hvilkenai": {
"url": "https://mcp.hvilkenai.no/mcp"
}
}
}
```
### Direct API
```bash
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/](https://hvilkenai.no/priser/)
For Pro access, add your API key as a Bearer token:
```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 (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](https://hvilkenai.no)
## Links
- **Website:** [hvilkenai.no](https://hvilkenai.no)
- **Glama:** [glama.ai/mcp/servers/erorund/hvilkenai-mcp](https://glama.ai/mcp/servers/erorund/hvilkenai-mcp)
- **Integrations page:** [hvilkenai.no/integrasjoner/](https://hvilkenai.no/integrasjoner/)
- **Server URL:** `https://mcp.hvilkenai.no/mcp`
- **Health check:** `https://mcp.hvilkenai.no/health`
## License
MIT