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AIblogly AI Models MCP Server

not responding

AIblogly AI Models is listed as active in the registry but did not answer our last check. It exposes 4 tools.

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

Uptime history 19 days of history · worst day 0%
19 days agonow
0.0%
Uptime 24h
0 of 91 checks
4
Tools
read from the server
87 ms
Response time
average over 24h
open, no key
Access
streamable-http

AIblogly AI Models does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

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 13 min ago.

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

Available tools 4

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

compare
compare_models
Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.
model
get_model
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.
models
search_models
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
top_models
The highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.

Endpoints

URLTransportStateLatencyChecked
https://www.aiblogly.com/mcp streamable-http answering 87 ms 13 min ago

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AIblogly AI Models — questions

Answers built from our own checks of this server.

What can AIblogly AI Models do?
It exposes 4 tools, read directly from the server on our last check. Among them: compare_models, get_model, search_models, top_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 AIblogly AI Models working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 87 ms. The bar chart above shows every period we have measured.
The registry lists AIblogly AI Models as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect AIblogly AI Models?
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 AIblogly AI Models need an API key?
No. AIblogly AI Models completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.