LLMIntel Model Lifecycle MCP Server

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LLMIntel Model Lifecycle is listed as active in the registry but did not answer our last check. 140 installs a week from npm. It exposes 5 tools. Last commit 20 Oct 2026.

Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.

Installs per day peak 39 · avg 16 · -22% w/w

a month agotoday

Uptime history 91 days of history · worst day 0%

91 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

75 ms

Response time

average over 24h

140

Installs / week

npm and PyPI

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 25 October 2026. No other catalogue keeps this.

25 Oct 3 tools changed the parameters they ask for list_retiring_models, recent_lifecycle_changes, search_models

LLMIntel Model Lifecycle 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.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add model-lifecycle --transport http https://llmintel.ai/v1/mcp

Settings → Connectors → Add custom connector, then paste this address

https://llmintel.ai/v1/mcp

~/.codex/config.toml

[mcp_servers.model-lifecycle]
url = "https://llmintel.ai/v1/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "model-lifecycle": {
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "model-lifecycle": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}

Available tools 5

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

model

check_model

Check whether an LLM model id is safe to use, deprecated, or retired, and what to migrate to. Accepts the exact string used in code (e.g. 'gpt-4o', 'claude-sonnet-4-5-20250929', 'anthropic/claude-opus-4-1'). Call this before writing or changing any hardcoded model id.

models

search_models

List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.

recent

recent_lifecycle_changes

Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.

retiring

list_retiring_models

List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.

suggest

suggest_replacement

Given a deprecated or retiring model, return the provider's recommended replacement(s) and, when none is published, active models from the same provider to consider.

Endpoints

URL	Transport	State	Latency	Checked
https://llmintel.ai/v1/mcp	streamable-http	answering	75 ms	12 min ago

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LLMIntel Model Lifecycle — questions

Answers built from our own checks of this server.

What can LLMIntel Model Lifecycle do?

It exposes 5 tools, read directly from the server on our last check. Among them: check_model, list_retiring_models, recent_lifecycle_changes, search_models, suggest_replacement. 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 LLMIntel Model Lifecycle 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 75 ms. The bar chart above shows every period we have measured.

The registry lists LLMIntel Model Lifecycle 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 LLMIntel Model Lifecycle?

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 LLMIntel Model Lifecycle need an API key?

No. LLMIntel Model Lifecycle completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 5 of them are readable on this page. This is what we observed, not what the docs claim.

How many people use LLMIntel Model Lifecycle?

The npm package @llmintel/mcp was installed 140 times in the last week. Week over week that is -22%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is LLMIntel Model Lifecycle open source?

The code is open source: it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The licence covers the code in the repository, not the hosted service at llmintel.ai, which runs on its operator's own terms.