Connect-MCP

LLMIntel Model Lifecycle

ai.llmintel/model-lifecycle · v0.2.0

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

MCPremotelocal · npmno credentialsAI & LLMDeveloper tools

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 5 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 5 tools · 5 read, 0 write · Developer tools, AI & LLM

Test call list_retiring_models: worked (1,035 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://llmintel.ai/v1/mcp
Package
registry:   npm
identifier: @llmintel/mcp
version:    0.2.0
transport:  stdio

Tools

5 tools listed at last check
  • 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?'.

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