MCP server

Hello, AI Official

com.helloai/directory

Checked 29 Oct 2026, 08:57 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

helloai.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 779 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

29 Oct 2026, 08:57 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http directory https://helloai.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.directory]
url = "https://helloai.com/mcp"

Gemini CLI

{"mcpServers":{"directory":{"httpUrl":"https://helloai.com/mcp"}}}

Cursor

{"mcpServers":{"directory":{"url":"https://helloai.com/mcp"}}}

VS Code

{"servers":{"directory":{"type":"http","url":"https://helloai.com/mcp"}}}

Antigravity

agy mcp add directory https://helloai.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"directory","server_url":"https://helloai.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"directory","server_url":"https://helloai.com/mcp"}

Tools

• get_model ~83 tokens
  One tracked model's full record by id (claude, fable, muse, gemini, qwen, grok) or exact name.
• get_status ~68 tokens
  Data freshness, app version, model and article counts, the scoring version and snapshot fingerprint, and the rate limit.
• list_articles ~92 tokens
  Recent Hello, AI articles, newest first: title, date, category, excerpt and URL.
• list_categories ~77 tokens
  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_models ~122 tokens
  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_models ~337 tokens
  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

Browse

• Claude tools
• Grok tools
• Calling other AI models

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