com.helloai/directory · v1.0.0 · productivity
Hello, AI is healthy: it completed an MCP handshake in 1385 ms and exposes 6 tools.
Ask your assistant which frontier model to use and get a live, Elo-backed answer.
Endpoint: https://helloai.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 6 |
| Latency | 1385 ms |
| Last checked (UTC) | 2026-10-27T18:20:20.667Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-27T18:20:20.667Z | Healthy | 1385 |
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 aid, not a quality mea |
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. |