LLMIntel Model Lifecycle
ai.llmintel/model-lifecycleCheck whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.
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Score: 100/100
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Tools · 5
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…
List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.
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.
List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.
Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.
How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"llmintel_model_lifecycle": {
"url": "https://llmintel.ai/v1/mcp",
"transport": "streamable-http"
}
}
}
Or run it locally:
Runs locally from its npm package (v0.2.0). Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"llmintel_model_lifecycle": {
"command": "npx",
"args": [
"-y",
"@llmintel/mcp@0.2.0"
]
}
}
}
Optional: LLMINTEL_API_KEY, LLMINTEL_BASE_URL.