LLMIntel Model Lifecycle

Connect Remote server

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

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

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

Settings > Connectors > Add custom connector
URL: https://llmintel.ai/v1/mcp

Tools 5 found in our 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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