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MCP server · Developer tools

LLMIntel MCP server

by hivemindunit

Lets your AI check if a model name is still working, when it retires, and what to use instead.

Flow diagram: you ask your AI “Is gpt-4-32k still safe to use?”, the LLMIntel MCP server connects it to LLMIntel catalog, and you get back status, days left, replacement.

This is a small helper that lets your AI look up whether a model name (like gpt-4o or claude-sonnet-4) is still alive, about to be switched off, or already dead. It is handy if you or your team write code that calls AI models and you want to avoid shipping something that will break next month. You do not need an account or a key to use it.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you using what it already learned. An MCP server is a small helper program that gives your AI one extra skill or a connection to a service. This one connects your AI to LLMIntel, a public catalog of AI model lifecycles across OpenAI, Anthropic, Azure, AWS Bedrock, Google and Cohere. Once connected, your AI can look up a model name and tell you if it is safe to use, when it retires, and what to move to.

What this MCP server does

You ask your AI something like whether a model name in your code is still fine. Your AI sends that name to this helper. The helper checks the LLMIntel catalog, which is built from each provider's own deprecation pages. It comes back with the model's status, the retirement date in days, the suggested replacement, and a link to the provider's page. Your AI then explains the answer to you in the chat.

Flow diagram: you ask your AI “Is gpt-4-32k still safe to use?”, the LLMIntel MCP server connects it to LLMIntel catalog, and you get back status, days left, replacement. Click to zoom

What you can do with it

  • Check whether a single model name is safe, retiring, or already retired
  • List which models stop working in the next 90 days
  • Ask what to migrate to when a model is going away
  • Search the catalog by provider or by status
  • See what changed recently across all providers
  • Spot retired model names hiding in your code before you ship

Try asking your AI

  • “Is gpt-4-32k still safe to use, or has it been retired?”
  • “Check every model name in src/agents/ and tell me which ones are dead.”
  • “What models are retiring in the next 90 days?”
  • “What should I move to instead of claude-sonnet-4-20250514?”

What it gives back to you

You get back a short answer in the chat: the model's status (active, deprecated, retiring, or retired), how many days until it stops working, the replacement if the provider named one, and a link to the source page. For list questions, you get a sorted list, with already-broken models first. If the catalog cannot be reached, it says so instead of pretending everything is fine.

Before you start

What you need

  • An MCP host like Cursor, Claude Code, or Claude Desktop (or any host that accepts a URL)
  • Node.js if you install the npm package (not needed if you use the hosted URL)

Good to know

It only reads public data and does not change anything, but a failed lookup is not a green light, so treat an error as unknown rather than safe.

Install it with your AI

Add LLMIntel MCP server to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check LLMIntel MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.

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Who it's for

Developers and anyone who writes or reviews code that calls AI models, plus teams trying to keep their model names up to date.