Hello, AI

by FastDrop

MCP MCP VERIFIED Verified 1 hour ago Registry import free

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

Ask your assistant which frontier model to use and get a live, Elo-backed answer. Official MCP Registry: com.helloai/directory@1.0.0. Remote endpoint: https://helloai.com/mcp

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Remote MCP endpoint ingested from the official registry and probed by FastDrop.

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as com.helloai/directory and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

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Tools this endpoint exposes

Read directly from the endpoint on 27 Oct 2026. Not supplied by the maker.

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). Onl
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, mis
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.