# LLMIntel Model Lifecycle

- Registry name: `ai.llmintel/model-lifecycle` · version 0.2.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=ai.llmintel%2Fmodel-lifecycle
- Server page: https://mcpstation.net/s/ai.llmintel--model-lifecycle.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://llmintel.ai/v1/mcp`

## Tools (as reported by the server, not verified)

- `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.
- `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\_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.
- `search\_models`: List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.
- `recent\_lifecycle\_changes`: Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html