hvilkenAI MCP MCP server

An official MCP server by hvilkenAI that allows AI assistants to retrieve independent, daily benchmark data for over 350 AI models evaluated in Norwegian, Swedish, and Danish. It enables agents to query model rankings, get usage recommendations, and access historical performance data directly within conversations.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by hvilkenAI

MCP endpoint (Streamable HTTP)

https://mcp.hvilkenai.no/mcp

Vendor documentation

What you can do with it

Query daily AI model rankings for Norwegian, Swedish, or Danish
Get recommendations for the best AI model for a specific use case
Check historical performance trends of specific AI models
Retrieve weekly AI benchmark summaries

Tools advertised by the last live check:

get_daily_benchmark
get_weekly_summary
get_model_history
get_orchestrator_ranking
get_recommendation

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http hvilkenai-mcp https://mcp.hvilkenai.no/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add hvilkenai-mcp --url https://mcp.hvilkenai.no/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable hvilkenai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "hvilkenai-mcp": {
      "url": "https://mcp.hvilkenai.no/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "hvilkenai-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.hvilkenai.no/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start hvilkenai-mcp and inspect its tools.

VS Code configuration

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

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http hvilkenai-mcp https://mcp.hvilkenai.no/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "hvilkenai-mcp": {
      "url": "https://mcp.hvilkenai.no/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "hvilkenai-mcp": {
      "serverUrl": "https://mcp.hvilkenai.no/mcp"
    }
  }
}

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