Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
List the models each AI provider's API serves and see which are new since the last check.
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Pick the AI app you use, then copy the settings.
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Download the maker’s .mcpb file
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Run this in your terminal
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account markksantos, which owns the repo
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We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 7 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Qemu MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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