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Query AI IQ (aiiq.org) model IQ, rankings, benchmarks, and methodology.
Query AI IQ (aiiq.org) model IQ, rankings, benchmarks, and methodology.
This is a well-structured, read-only MCP server for querying public AI model benchmarks from the AI IQ API. Authentication is not required (by design, as it calls a public API), code quality is high with proper error handling and input validation, and permissions are tightly scoped to what the server needs. No security vulnerabilities identified. Supply chain analysis found 2 known vulnerabilities in dependencies (2 critical, 0 high severity). Package verification found 1 issue.
7 files analyzed · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: AIIQ_API_BASE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-shea256-aiiq-mcp": {
"env": {
"AIIQ_API_BASE": "your-aiiq-api-base-here"
},
"args": [
"-y",
"@aiiq/mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Model Context Protocol server for AI IQ — query AI model IQ, rankings, benchmarks, and methodology from any MCP client (Claude Code, etc.).
Read-only. Talks to the public AI IQ API over HTTPS; no API key required.
Requires Node.js 18+. No API key needed. Works in any MCP client.
Claude Code (one command):
claude mcp add aiiq -- npx -y @aiiq/mcp # add --scope user for all projects
Claude Desktop — edit claude_desktop_config.json (Settings → Developer → Edit Config) and add:
{
"mcpServers": {
"aiiq": { "command": "npx", "args": ["-y", "@aiiq/mcp"] }
}
}
Then fully quit and reopen the app. (If Node is managed by nvm/asdf, use the absolute path to npx
as the command, since the desktop app doesn't inherit your shell PATH.)
Cursor / Windsurf / other clients — same JSON in the client's MCP config:
{ "mcpServers": { "aiiq": { "command": "npx", "args": ["-y", "@aiiq/mcp"] } } }
list_models — all public models with IQ, 7 dimension scores, emotional reasoning, rank, costget_model — full detail for one model (incl. per-benchmark results)list_rankings — available leaderboards (ids + names)get_ranking — ordered models for one ranking idlist_benchmarks — benchmark catalogget_methodology — how AI IQ is computedcompare_models — side-by-side detail for several modelsAIIQ_API_BASE — override the API base URL (default https://www.aiiq.org).pnpm install
pnpm test
pnpm build
MIT
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