Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
List the models each AI provider's API serves and see which are new since the last check.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 markksantos 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.2.0)于7天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 MCPB。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Funooy Krillion Reference
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Funooy trivia references in six languages, with rules and fixed scoring. No daily spoilers.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
List the models each AI provider's API serves, and see what's new since the last time you looked. One command, no dependencies, Node 18+. It also runs as an MCP server, so Claude or Cursor can check for you.
New models often show up in a provider's /models list before any announcement. ai-model-watch saves each provider's list, and on the next run prints only the model IDs that weren't there before. Run it by hand, from cron, or in CI with --exit-code.
$ ai-model-watch -p openrouter
2026-10-17T09:26:01.231Z OpenRouter: 2 new
The first run records a baseline (OpenRouter: 470 models recorded as the baseline), so you only hear about changes after that.
| Provider | Endpoint | Key |
|---|---|---|
| OpenRouter | GET https://openrouter.ai/api/v1/models | none, works out of the box |
| OpenAI | GET https://api.openai.com/v1/models | OPENAI_API_KEY |
| Anthropic | GET https://api.anthropic.com/v1/models (paginated) | ANTHROPIC_API_KEY |
| Google Gemini | GET https://generativelanguage.googleapis.com/v1beta/models (paginated) | GEMINI_API_KEY or GOOGLE_API_KEY |
| Mistral | GET https://api.mistral.ai/v1/models | MISTRAL_API_KEY |
| xAI | GET https://api.x.ai/v1/models | XAI_API_KEY |
| DeepSeek | GET https://api.deepseek.com/models | DEEPSEEK_API_KEY |
Listing models is free on every one of these APIs. Nothing is generated and no tokens are spent. A provider whose key isn't set is skipped. Keys are sent only to that provider, never across a redirect, and never printed.
brew install markksantos/tap/ai-model-watch # macOS / Linux (Homebrew)
npx github:markksantos/ai-model-watch
git clone https://github.com/markksantos/ai-model-watch && node ai-model-watch/bin/ai-model-watch.js
ai-model-watch [options] -p, --providers openrouter,openai,anthropic,gemini,mistral,xai,deepseek (default: all with a key) -s, --state where the last-seen lists live (default: ~/.cache/ai-model-watch/state.json) -w, --watch keep running and check every N seconds (minimum 60) --removed also print models that disappeared --json JSON output --exit-code exit 1 when anything new appears (for cron and CI) -q, --quiet print only new models --mcp run as an MCP server on stdio
--mcp runs it as a Model Context Protocol server on stdio, so an assistant can ask what's new itself. Two tools:
check_new_models: the model IDs each provider started listing since the last check (same state file as the CLI).list_models: what one provider lists right now, with an optional substring filter.Claude Code:
claude mcp add ai-model-watch -- npx -y github:markksantos/ai-model-watch --mcp
Or as a Claude Code plugin (this repo is its own marketplace):
/plugin install ai-model-watch --marketplace markksantos/ai-model-watch
On Claude Code versions older than 2.1.275, run /plugin marketplace add markksantos/ai-model-watch, then /plugin install ai-model-watch@ai-model-watch. The plugin passes any provider keys set in your environment through to the server, and adds an ai-model-watch skill so Claude reaches for the tools when you ask whether a model is out yet.
The skill on its own (Claude Code, Cursor, Codex and other agents), from claude-plugins.dev:
npx skills-installer install @markksantos/ai-model-watch/ai-model-watch
Claude Desktop, one click: download ai-model-watch-1.2.0.mcpb and open it. Desktop asks for the optional keys in its settings.
Claude Desktop, Cursor and other clients (mcpServers in their JSON config):
{
"mcpServers": { "ai-model-watch": { "command": "npx", "args": ["-y", "github:markksantos/ai-model-watch", "--mcp"] } } }
OpenRouter works without a key. To include another provider, add its key from the Providers table to an env object in the same entry.
*/15 * * * * OPENAI_API_KEY=... ANTHROPIC_API_KEY=... ai-model-watch -q >> ~/model-drops.log
examples/github-action.yml runs the check on a schedule, caches the state file between runs, and fails the job (so GitHub emails you) when a new model appears.
npm install github:markksantos/ai-model-watch, then:
const { check, fetchProvider } = require('ai-model-watch');
const report = await check({ providers: ['openrouter', 'anthropic'] }); for (const p of report.providers) { for (const m of p.added || []) console.log(p.label, m.id); }
fetchProvider(id, { env, fetch }) returns { status: 'ok' | 'skipped' | 'error', models: [{ id, name, created }] }. check() diffs against the state file and saves the new lists. A provider that errors keeps its last good list. Errors include HTTP and network failures, a redirect, a body that isn't that provider's list shape, a malformed model ID, and pagination that doesn't finish. So a bad response never empties the saved list or makes the next run report the whole catalog as new.
A model ID in a /models list means the provider lists it. It doesn't prove the model answers requests yet, and some providers list models days before they are generally available. created is whatever date the provider reports, not when the model appeared.
The hosted version, [ArtificialWatch](https://artificialwatch.com), polls these APIs plus the public catalogs every 60 seconds and confirms a detection on a second sweep before anything fires. Then it alerts you by email and Chrome push (free), or by text or phone call. Use it if you'd rather not keep a cron job running.
MIT