mcpbeat

LLMIntel Model Lifecycle MCP Server

ai.llmintel/model-lifecycle
not responding

LLMIntel Model Lifecycle is listed as active in the registry but did not answer our last check. 531 installs a week from npm. It exposes 5 tools. Last commit 29 Jul 2026.

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

Installs per day peak 412 · avg 17
a month agotoday
Uptime history 41 hours of history · worst hour 0%
41 hours agonow
69.2%
Uptime 24h
63 of 91 checks
5
Tools
read from the server
311 ms
Response time
average over 24h
531
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add model-lifecycle --transport http https://llmintel.ai/v1/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "model-lifecycle": {
      "url": "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
{
  "mcpServers": {
    "model-lifecycle": {
      "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

URLTransportStateLatencyChecked
https://llmintel.ai/v1/mcp streamable-http answering 105 ms 6 min ago

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 63 of 91 checks got a reply (69.2%), average response time 311 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 with the file path 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 fast is LLMIntel Model Lifecycle?
It answers our handshake in 311 ms on average, which is faster than 45% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use LLMIntel Model Lifecycle?
The npm package @llmintel/mcp was installed 531 times in the last week. 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?
Yes — it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.