AptLynxMCP server
Ai Model Lifecycle Index
io.github.oscarlopez-gif/ai-model-lifecycle-index
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.
Working at last checkAbout 397 tokens per request once connected4 tools
https://lifecycle.oscar-lopez.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 4
- Token cost
- About 397 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 ai-model-lifecycle-index https://lifecycle.oscar-lopez.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ai-model-lifecycle-index] url = "https://lifecycle.oscar-lopez.com/mcp"
Gemini CLI
{"mcpServers":{"ai-model-lifecycle-index":{"httpUrl":"https://lifecycle.oscar-lopez.com/mcp"}}}
Cursor
{"mcpServers":{"ai-model-lifecycle-index":{"url":"https://lifecycle.oscar-lopez.com/mcp"}}}
VS Code
{"servers":{"ai-model-lifecycle-index":{"type":"http","url":"https://lifecycle.oscar-lopez.com/mcp"}}}
Antigravity
agy mcp add ai-model-lifecycle-index https://lifecycle.oscar-lopez.com/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":"ai-model-lifecycle-index","server_url":"https://lifecycle.oscar-lopez.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ai-model-lifecycle-index","server_url":"https://lifecycle.oscar-lopez.com/mcp"}
Tools
get_model_lifecycle_all~94 tokens
Full cross-vendor lifecycle export (all tracked models). Free during the public preview; metered via x402 when live.is_model_live~82 tokens
FREE. Fast check of whether an AI model is still callable, plus its sunset date and days remaining. Use before depending on a model at runtime.model_lifecycle~125 tokens
FREE. Lifecycle of one AI model: status (active/preview/deprecated/retired), release/deprecation/shutdown dates, days until shutdown, recommended migration target, and the official source URL.upcoming_deprecations~96 tokens
FREE. AI models being shut down within the next N days across OpenAI, Anthropic, Google, and Amazon Bedrock, with migration targets. Default 90 days.
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