MCP server

AIblogly AI Models Official

com.aiblogly/models

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks.

Working at last checkVerified publisher: aiblogly.comAbout 551 tokens per request once connected4 tools

https://www.aiblogly.com/mcp

At a glance

Type: MCP server
Publisher: aiblogly.com (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 551 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

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 models https://www.aiblogly.com/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.models]
url = "https://www.aiblogly.com/mcp"

Gemini CLI

{"mcpServers":{"models":{"httpUrl":"https://www.aiblogly.com/mcp"}}}

Cursor

{"mcpServers":{"models":{"url":"https://www.aiblogly.com/mcp"}}}

VS Code

{"servers":{"models":{"type":"http","url":"https://www.aiblogly.com/mcp"}}}

Antigravity

agy mcp add models https://www.aiblogly.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":"models","server_url":"https://www.aiblogly.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"models","server_url":"https://www.aiblogly.com/mcp"}

compare_models ~107 tokens
Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.
get_model ~129 tokens
All published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.
search_models ~195 tokens
Find published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.
top_models ~120 tokens
The highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.

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