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Hello, AI MCP Server

by helloai Your server? Claim it
answering

Hello, AI is answering right now. Last checked 7 min ago. It exposes 6 tools.

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

Uptime history 12 days of history
12 days agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
455 ms
Response time
average over 24h
open, no key
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Hello, AI every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add directory --transport http https://helloai.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://helloai.com/mcp
~/.codex/config.toml
[mcp_servers.directory]
url = "https://helloai.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "directory": {
      "url": "https://helloai.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "directory": {
      "type": "http",
      "url": "https://helloai.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

articles
list_articles
Recent Hello, AI articles, newest first: title, date, category, excerpt and URL.
categories
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.
model
get_model
One tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
models
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.
recommend
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 measure.
status
get_status
Data freshness, app version, model and article counts, the scoring version and snapshot fingerprint, and the rate limit.

Endpoints

URLTransportStateLatencyChecked
https://helloai.com/mcp streamable-http answering 466 ms 7 min ago

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Hello, AI — questions

Answers built from our own checks of this server.

What can Hello, AI do?
It exposes 6 tools, read directly from the server on our last check. Among them: get_model, get_status, list_articles, list_categories, list_models, recommend_models. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Hello, AI working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 455 ms. The bar chart above shows every period we have measured.
How do I connect Hello, AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Hello, AI need an API key?
No. Hello, AI completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Hello, AI?
It answers our handshake in 455 ms on average, which is faster than 27% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.