Hvilkenai Mcp

io.github.erorundPublished by GitHub account erorundv1.0.0Updated Oct 24, 2026

Daily Scandinavian AI benchmark — Norwegian, Swedish, Danish. 12+ models tested.

VerifiedStreamable HTTPWeb executableData & Analytics AI & ML

Server details

Identifier: io.github.erorund/hvilkenai-mcp
Transport: Streamable HTTP
Runtime: Web executable
Trust: Verified
Published: Sep 16, 2026

Security note

MCP servers receive tool arguments from a conversation and may perform external actions. Review what a server can do before you enable it, and give it only the access it needs.

The registry verified the GitHub account erorund for this listing. That does not show the account is the product's maker.

SourceWeft's checks cover whether the listing is complete and the endpoint answered; they do not review the server's code or what its tools do.

Add a badge to your README

Show readers this MCP server is listed on SourceWeft. The badge links to this page.

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.erorund%2Fhvilkenai-mcp.svg)](https://sourceweft.com/mcp/io.github.erorund%2Fhvilkenai-mcp?utm_source=readme&utm_medium=badge)

Overview

AI-generated overview

Remote MCP server giving assistants daily Scandinavian-language AI benchmark data: model rankings, history, orchestrator rankings and recommendations.

What you can do: Retrieve daily benchmark rankings of AI models for Norwegian, Swedish and Danish, with scores, pricing and speed, filterable by language and price tier. Track a named model's score history over time. Get rankings of models suited to orchestrating multi-agent systems. Get a model recommendation for a use case, language and budget. Read a weekly summary with winner, trends and reliability analysis.
When to use it: Useful when choosing or comparing AI models for Norwegian, Swedish or Danish work, checking how a model has performed over time, or picking a model for agent orchestration or a given budget.
Requirements: Remote streamable HTTP endpoint; no local install. Free tier needs no key but returns 24-hour-delayed data, top 3 models and 100 requests/hour. Pro access needs an API key sent as an Authorization Bearer token, obtained from the provider's pricing page; OAuth 2.1 sign-in is offered in Claude Desktop.

Before you install

Pro access is a paid tier requiring an API key, which is sent as an Authorization Bearer token to the remote server. Free results are delayed and limited to the top 3 models. Scores come from a proprietary, undisclosed methodology, so treat rankings as one vendor's opinion.

Installation

In SourceWeft

Open Hvilkenai Mcp in the dashboard and add it to a workspace.
Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.erorund%2Fhvilkenai-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

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.

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.

Returns: Daily scores and trends for the specified model.

get_orchestrator_ranking

Find the best model for AI agent orchestration and multi-agent systems.

Returns: Models ranked by combined language quality and instruction-following ability.

get_recommendation

Get a model recommendation tailored to your specific needs and budget.

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.

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"    }  }}

{  "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)

Cursor / VS Code

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}'

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:

json

{  "mcpServers": {    "hvilkenai": {      "type": "streamablehttp",      "url": "https://mcp.hvilkenai.no/mcp",      "headers": {        "Authorization": "Bearer YOUR_API_KEY"      }    }  }}

{  "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

License

MIT

Source: README.md at commit c0d583d

Tools

get_daily_benchmark

Returnerer benchmark-resultater for AI-modeller på skandinaviske språk. Gratis: gårsdagens data (24t forsinkelse), topp 3 modeller. Med API-nøkkel: sanntidsdata, alle modeller. Oppdateres daglig kl 07:30 CET.

Parameterstierlanguage

get_weekly_summary

Ukens oppsummering av AI-benchmark – vinner, trender og pålitelighetsanalyse. Rapport genereres hver fredag.

Parametersweeklanguage

get_model_history

Henter historisk benchmark-data for én AI-modell over tid. Viser score-utvikling per dag. Gratis: siste 3 dager. Betalt: opptil 30 dager.

Parametersdayslanguagemodel_namerequired

get_orchestrator_ranking

Rangering av AI-modeller egnet som orkestrator i multi-agent-systemer. Score = (norsk × instruksjon / 25) × 10. Gratis: gårsdagens data, topp 3. Med API-nøkkel: sanntidsdata, alle modeller.

Parameterslanguage

get_recommendation

Anbefaler beste AI-modell for et spesifikt bruksområde og budsjett. Gratis: beste valg basert på gårsdagens data (24t forsinkelse). Med API-nøkkel: sanntidsdata, topp 3 med begrunnelse.

Parametersbudgetlanguageuse_case

Version history

v1.0.0LatestSep 16, 2026

Score

90% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts
Declare a license in the repository or the registry entry.

Parameter	Type	Values	Default
`language`	string	`no`, `sv`, `da`	`no`
`tier`	string	`all`, `premium`, `midrange`, `budget`	`all`

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`

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`

Parameter	Type	Values	Default
`language`	string	`no`, `sv`, `da`	`no`
`week`	string	Format `YYYY-WW`, e.g. `"2026-21"`	current week

Hvilkenai Mcp

Overview

Installation

In SourceWeft

Use with an agent

Other MCP clients

README

hvilkenAI MCP Server

What this does

Available tools

get_daily_benchmark

get_model_history

get_orchestrator_ranking

get_recommendation

get_weekly_summary

Quick start

Claude Desktop

Claude Code (CLI)

Cursor / VS Code

Direct API

Authentication

Example interaction

About the benchmark

Links

License

Tools

get_daily_benchmark

get_weekly_summary

get_model_history

get_orchestrator_ranking

get_recommendation

Version history

Score