Ai Model Lifecycle Index

io.github.oscarlopez-gif由 GitHub 账号 oscarlopez-gif 发布v0.1.0更新于 Oct 24, 2026

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

发布方自己的服务：model.tools — Zero-Auth Agent Utilities

已验证Streamable HTTP可网页运行开发者工具 AI 与机器学习

服务详情

标识符: io.github.oscarlopez-gif/ai-model-lifecycle-index
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Sep 19, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 oscarlopez-gif。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.oscarlopez-gif%2Fai-model-lifecycle-index.svg)](https://sourceweft.com/mcp/io.github.oscarlopez-gif%2Fai-model-lifecycle-index?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

一个远程 MCP 服务器，让助手查询 OpenAI、Anthropic、Google 和 Amazon Bedrock 上 AI 模型是否仍可用、何时下线以及建议迁移到哪个模型。

可以做什么: 查询单个模型的生命周期：状态、发布/弃用/关停日期、距关停天数、建议迁移目标和官方来源链接。快速判断某个模型是否仍可调用，并给出下线日期和剩余天数。列出指定天数内（默认 90 天）所有已收录厂商即将关停的模型及迁移目标。导出全部已收录模型的跨厂商生命周期数据。
适用场景: 适合在代码或运行流程中指定了具体模型、需要在使用前确认该模型仍然存在时使用，也适合规划从即将关停模型迁移的场景，或审查技术栈中哪些模型已弃用或退役。
运行要求: 远程 streamable HTTP 端点；未声明本地运行时、软件包、账户、API 密钥或请求头。需要能访问该托管端点的网络。

安装前请注意

完整导出工具仅在公开预览期免费，正式上线后说明将按 x402 计费，届时调用可能涉及付费。生命周期数据转录自厂商页面并在标注日期核验，可能滞后于厂商变更；同一模型在托管平台上的状态可能与模型厂商自家 API 不同。

安装

在 SourceWeft 中

打开控制台中的 Ai Model Lifecycle Index，将其添加到工作区。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.oscarlopez-gif%2Fai-model-lifecycle-index/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

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

README

AI Model Lifecycle & Deprecation Index

A source-cited, cross-vendor record of AI model lifecycle — is a model still live, when does it sunset, and what's the migration target — across OpenAI, Anthropic, Google (Gemini), and Amazon Bedrock. Every date is transcribed from the provider's own official deprecation/lifecycle page and carries that source URL. Built for agents that need to know, at runtime, whether the model they're about to call still exists.

Site: https://data.oscar-lopez.com/model-lifecycle
API + MCP host: https://lifecycle.oscar-lopez.com
Maintainer: Oscar E. López, Ph.D. (Information Systems, UMass Amherst) — independent project.
License: CC BY 4.0 · Cite as: López, O. E. (2026). AI Model Lifecycle & Deprecation Index. data.oscar-lopez.com/model-lifecycle

Coverage

71 models across 4 providers (active / preview / deprecated / retired), with status, release / deprecation / shutdown dates, and provider-recommended replacements. Verified 2026-09-08.

REST endpoints (free)

GET /v1/lifecycle/model?id=ID — one model: status, dates, days-to-shutdown, replacement, source
GET /v1/lifecycle/deprecations?within_days=90 — models shutting down within N days
GET /v1/lifecycle/provider?provider=openai|anthropic|google|aws-bedrock — a provider's models
GET /v1/lifecycle/stats — counts by provider/status + next shutdown
GET /v1/lifecycle/all — full export (free during the public preview; metered via x402 when live)

MCP tools

Endpoint: https://lifecycle.oscar-lopez.com/mcp

model_lifecycle — full lifecycle of one model (free)
is_model_live — is a model still callable, with its sunset date (free)
upcoming_deprecations — models sunsetting within N days across all providers (free)
get_model_lifecycle_all — full export (free during preview)

Discovery

/.well-known/agent-card.json (A2A), /.well-known/x402, /openapi.json

How it's built

Cloudflare Worker + D1. The index is derived live from a models table; days-until-shutdown is computed at request time. Values come from official provider pages only; fields a provider doesn't publish are left blank rather than inferred. A model's lifecycle on a hosting platform (e.g. Amazon Bedrock) can differ from the model-maker's own API — each row records which surface it describes.

来源：README.md，提交 ea63349

工具

model_lifecycle

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.

输入参数model_id必填