Hello, AI

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "hello-ai": {
      "type": "http",
      "url": "https://helloai.com/mcp"
    }
  }
}

6 tools

• 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%, context 20% when no task matches). Only rated models rank; unrated ones are listed separately. score is an ordering…

• 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 when the stored Elo is a predecessor's, missing or stale.

• 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.

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