Hello, AI
Ask your assistant which frontier model to use and get a live, Elo-backed answer.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"directory": {
"url": "https://helloai.com/mcp"
}
}
}Remote-Endpunkte
https://helloai.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢list_articles(limit)
Recent Hello, AI articles, newest first: title, date, category, excerpt and URL.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Community
Nachweis