MCP Uptime
← MCP Reliability Index  /  AI & LLM
L

LLMIntel Model Lifecycle

ai.llmintel/model-lifecycle
Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.
healthy
status
5
tools exposed
740ms
connect latency
0ee999b93d4a
schema fingerprint

Tools (5)

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?'.

Endpoint

https://llmintel.ai/v1/mcp
Category: AI & LLM · Last checked: 2026-07-30T12:46:59Z

Monitor your own MCP server

Get alerted the moment yours goes down, a tool schema drifts, or an upstream silently breaks.

Get early access
How we measure →
What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.