MCP server
LLMIntel Model Lifecycle Official
ai.llmintel/model-lifecycle
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.
Working at last checkVerified publisher: llmintel.aiAbout 874 tokens per request once connected5 tools
https://llmintel.ai/v1/mcp
At a glance
- Type
- MCP server
- Publisher
- llmintel.ai (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 874 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http model-lifecycle https://llmintel.ai/v1/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.model-lifecycle] url = "https://llmintel.ai/v1/mcp"
Gemini CLI
{"mcpServers":{"model-lifecycle":{"httpUrl":"https://llmintel.ai/v1/mcp"}}}
Cursor
{"mcpServers":{"model-lifecycle":{"url":"https://llmintel.ai/v1/mcp"}}}
VS Code
{"servers":{"model-lifecycle":{"type":"http","url":"https://llmintel.ai/v1/mcp"}}}
Antigravity
agy mcp add model-lifecycle https://llmintel.ai/v1/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"model-lifecycle","server_url":"https://llmintel.ai/v1/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"model-lifecycle","server_url":"https://llmintel.ai/v1/mcp"}
Tools
check_model~165 tokens
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~187 tokens
List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.recent_lifecycle_changes~174 tokens
Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.search_models~215 tokens
List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.suggest_replacement~133 tokens
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.
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