# hvilkenai-mcp

> hvilkenai-mcp — erorund-hvilkenai-mcp. Use this tool when you need to evaluate and benchmark the language quality of AI models in Scandinavian languages, including Norwegian, Swedish, and Danish, to improve their performance and accuracy. It provides a daily benchmarking service through an MCP server, allowing for continuous assessment and refinement of AI assistants. Ideal for developers and researchers working on AI language models for Nordic languages.

Canonical page: https://skillsregistry.net/skills/erorund-hvilkenai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/erorund-hvilkenai-mcp

## Description

Daily Scandinavian AI language quality benchmark — Norwegian, Swedish, Danish. MCP server for AI assistants.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/erorund/hvilkenai-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "erorund-hvilkenai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/erorund-hvilkenai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/erorund-hvilkenai-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt