Hello, AI
Ask your assistant which frontier model to use and get a live, Elo-backed answer.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"directory": {
"url": "https://helloai.com/mcp"
}
}
}リモートエンドポイント
https://helloai.com/mcpstreamable-httpできること
ツール一覧
ツール（6）
🟢recommend_models(task, max_cost, min_context, provider, limit)
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%, context 20% when no task matches). Only rated models rank; unrated ones are listed separately. score is an ordering aid, not a quality measure.
入力スキーマ
{
"type": "object",
"properties": {
"task": {
"type": "string",
"maxLength": 64,
"description": "Use case, matched against the category names: Overall Preference, Coding & Engineering, Hard Reasoning & Science, Honest Daily Use. Examples: coding, reasoning, overall, daily."
},
"max_cost": {
"type": "number",
"exclusiveMinimum": 0,
"description": "Maximum USD per 1 million input tokens; models above it are excluded."
},
"min_context": {
"type": "integer",
"minimum": 1,
"description": "Minimum context window in tokens; models below it are excluded."
},
"provider": {
"type": "string",
"description": "Provider name, case-insensitive exact match (for example Anthropic, Google, xAI)."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 10,
"default": 3,
"description": "How many ranked rows to return, 1 to 10. Default 3."
}
},
"additionalProperties": false
}🟢list_models(provider)
All tracked models with full records: Elo and its provenance (elo_source), prices per million tokens, context window, strengths, description. rated is false when the stored Elo is a predecessor's, missing or stale.
入力スキーマ
{
"type": "object",
"properties": {
"provider": {
"type": "string",
"description": "Provider name, case-insensitive substring match."
}
},
"additionalProperties": false
}🟢get_model(id)
One tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
入力スキーマ
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Model id or exact name"
}
},
"required": [
"id"
],
"additionalProperties": false
}🟢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.
入力スキーマ
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢list_articles(limit)
Recent Hello, AI articles, newest first: title, date, category, excerpt and URL.
入力スキーマ
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10,
"description": "Articles to return, 1 to 50. Default 10."
}
},
"additionalProperties": false
}🟢get_status
Data freshness, app version, model and article counts, the scoring version and snapshot fingerprint, and the rate limit.
入力スキーマ
{
"type": "object",
"properties": {},
"additionalProperties": false
}コミュニティ
エビデンス