KitScout

Categories › AI & Agents › Thinking, planning & prompt tools

Hello, AI

MCP serverVerified domain · helloai.comRemote● LiveFree to try

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

Install

Remote server: your requests and data go to helloai.com. Claude Code: claude mcp add --transport http hello-ai https://helloai.com/mcp · Claude app: Settings → Connectors → Add custom connector.

What it can do

The tools this server listed when we connected to it, in its own words.

  • 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
  • list_models — All tracked models with full records: Elo and its provenance (elo_source), prices per million tokens, context window, strengths, description
  • 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 fr
  • 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.

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

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