com.helloai/directory

up checked 2026-11-10T23:37:21.992Z

Unclaimed · Unverified

Publisher-provided title

Hello, AI

Publisher-provided description

Ask your assistant which frontier model to use and get a live, Elo-backed answer.

Summary by lookupd

Lets an agent query AI model records, Elo ratings, pricing, and recommendations for picking a frontier model for a task.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http directory https://helloai.com/mcp

Codex, remote (streamable-http)

codex mcp add directory --url https://helloai.com/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "directory": {
      "url": "https://helloai.com/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

recommend_models Rank Hello, AI's tracked frontier models for a task. Same scoring as GET /api/recommend: task match 40%, Elo 35%, input cost 15%, context 10% (Elo 55%, cost 25%
list_models All tracked models with full records: Elo and its provenance (elo_source), prices per million tokens, context window, strengths, description. rated is false whe
get_model One tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
list_categories The curated use-case categories with their curator-chosen leader and a one-paragraph insight. The leader is a hand-set label, not derived from Elo.
list_articles Recent Hello, AI articles, newest first: title, date, category, excerpt and URL.
get_status Data freshness, app version, model and article counts, the scoring version and snapshot fingerprint, and the rate limit.

Shows this live status and links here; updates hourly.

[![lookupd status](https://lookupd.com/badge/com.helloai/directory.svg)](https://lookupd.com/servers/com.helloai/directory)