ai-model-lifecycle-index

Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.

我該用這個嗎

品質與安全性

A
說明品質
95%
結構描述完整度
90%
命名品質
85%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~343Token(工具定義)
~401 B典型回應大小
極小的注意力影響(128k 上下文的 0.27%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "ai-model-lifecycle-index": {
      "url": "https://lifecycle.oscar-lopez.com/mcp"
    }
  }
}

遠端端點

https://lifecycle.oscar-lopez.com/mcpstreamable-http

它能做什麼

工具清單

工具(4)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪model_lifecycle(model_id)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "description": "canonical model id, e.g. 'gpt-4-32k', 'claude-3-opus-20240229', 'gemini-2.0-flash'"
    }
  },
  "required": [
    "model_id"
  ]
}
🟢is_model_live(model_id)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string"
    }
  },
  "required": [
    "model_id"
  ]
}
⚪upcoming_deprecations(within_days)

FREE. AI models being shut down within the next N days across OpenAI, Anthropic, Google, and Amazon Bedrock, with migration targets. Default 90 days.

輸入結構描述

{
  "type": "object",
  "properties": {
    "within_days": {
      "type": "integer",
      "description": "look-ahead window in days (default 90)"
    }
  }
}
🟢get_model_lifecycle_all(provider)

Full cross-vendor lifecycle export (all tracked models). Free during the public preview; metered via x402 when live.

輸入結構描述

{
  "type": "object",
  "properties": {
    "provider": {
      "type": "string",
      "description": "optional filter",
      "enum": [
        "openai",
        "anthropic",
        "google",
        "aws-bedrock"
      ]
    }
  }
}

建議的提示詞

fetch_info
Fetch [information type] using ai-model-lifecycle-index
預期的工具: get_model_lifecycle_all
retrieve_data
Get details about [item] from ai-model-lifecycle-index
預期的工具: get_model_lifecycle_all

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已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具