World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
在云端运行✓ worldmonitor.app
Stalemodel
概览
作者提供的说明（英文原文）
Catch outdated AI model names, and look up current models, prices and limits.
PopNx MCP 的三大支柱
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i2 项中通过 2 项依据公开信息检查；尚未扫描代码
- 使用情况i非常新↓ 116/周 · ★ 0
它能帮你做什么
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。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 其他
安装
选择你使用的 AI 应用，然后复制设置。
安装之前
- 基础检查：2 项中通过 2 项
- 在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
- 注册中心没有列出需要填写的密钥。
你需要
- npm已安装 Node.js（用于 npx 命令）
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"stalemodel": {
"command": "npx",
"args": [
"-y",
"stalemodel",
"serve"
]
}
}
}在终端中运行这条命令
claude mcp add stalemodel -- npx -y stalemodel serve或者自己复制设置
粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json
{
"mcpServers": {
"stalemodel": {
"command": "npx",
"args": [
"-y",
"stalemodel",
"serve"
]
}
}
}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。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"stalemodel": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stalemodel",
"serve"
]
}
}
}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。
它能做什么
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。
基础检查i
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10日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 GillMacedo 验证，该账户拥有此仓库
- ✓ 通过
仍在维护
代码最后更新于8天前
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
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“其他”中的其他服务器比较i
- 星标数多于此分类中其他 19082 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 19082 个服务器的 80% 更新
- 基础检查结果等于或优于此分类中其他 19082 个服务器的 100%
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。
常见问题
Stalemodel 安全吗？
它在 2 项适用的基础检查中通过了 2 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。
它需要哪些密钥或代码？
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。
它在我的电脑上运行还是在云端？
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）。
它还在维护吗？
GitHub 仓库最后更新于8天前，最新版本（0.1.1）于10天前进入注册中心。
哪些应用可以使用它？
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 Node.js。
有什么可以替代它？
同一分类中有：World Monitor, Claude Flow, Tldraw
替代选择
同一分类中其他作者的服务器，按星标数排序。
如何看卡片：↓ 每周下载量i★ 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
Claude Flow
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
在你的电脑上运行
作者的 README
打开 README
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。
stalemodel: find deprecated AI model names in your code
Catch outdated OpenAI, Claude and Gemini model IDs before your coding agent ships them, and look up current LLM prices and context limits.
Coding agents write model IDs from old training data, so new code often calls models that are deprecated or gone, and fails with errors like "model not found". stalemodel checks IDs against a live catalog, suggests the newest model in the same family, and gives agents current LLM pricing and limits. It's an MCP server and a CLI. It needs no API key or account, sends no code anywhere, and falls back to a bundled snapshot when offline.
It covers Anthropic Claude, OpenAI GPT, Google Gemini, xAI Grok, DeepSeek and Mistral.
What you can ask your agent
- "Which Claude model ID should I use, and what does it cost?"
- "Why do I get 'model not found' for claude-3-5-sonnet-20241022?"
- "Check this repo for deprecated model names."
- "What's the cheapest current model with tool calling and a 1M context window?"
Install
As a Claude Code plugin, which adds the MCP server and a skill that tells Claude when to use it:
claude plugin marketplace add GillMacedo/stalemodel claude plugin install stalemodel@stalemodel-marketplace
For other MCP clients, run it from npm. You need Node 22.19 or newer. It's also in the official MCP Registry as io.github.GillMacedo/stalemodel.
{"mcpServers": { "stalemodel": { "command": "npx", "args": ["-y", "stalemodel", "serve"] } } }
Usage
Without installing anything, run npx stalemodel scan .. The examples below run from a clone of this repo.
Scan a project. Only quoted strings count, and scan exits 1 on findings, so it can run in CI.
$ node plugin/dist/stalemodel.js scan examples examples/app.py:2 claude-3-5-sonnet-20241022 not in catalog try claude-sonnet-5-5 examples/app.py:3 gpt-3.5-turbo deprecated try gpt-5.5 examples/app.py:4 gemini-1.5-pro not in catalog try gemini-2.5-pro 3 findings in 1 files
Check an ID.
$ node plugin/dist/stalemodel.js check gpt-4o claude-opus-5-5 gpt-4o current try gpt-5.5 claude-opus-5-5 current
Find current models, newest first, with prices per million tokens.
$ node plugin/dist/stalemodel.js find --provider anthropic --limit 2 claude-haiku-5-5 anthropic 2026-10-07 $0.1/$0.5 per MTok 1000000 context claude-sonnet-5-5 anthropic 2026-09-28 $2/$10 per MTok 1000000 context
Add --json for machine-readable output, or --offline to use only the bundled snapshot. These examples use the snapshot from 2026-10-31, so live results will change.
MCP tools
| Tool | What it does |
|---|---|
models_check | Says whether IDs are current, deprecated or unknown, and suggests a newer model |
models_find | Lists models by provider, name, price, context size or tool support |
models_scan | Finds outdated IDs in a file or folder, returning locations only |
All three are read-only.
Limits
- Data comes from models.dev, so it can lag behind providers or contain errors.
- "Not in catalog" can also mean a new, private or misspelled model.
tryis a suggestion based on family and release date. Check price and behavior before switching.scanonly sees quoted IDs, so it misses IDs built at runtime. It also doesn't flag baregpt-4o-style IDs that are old but still current.
FAQ
How do I find deprecated LLM models in my code? Run npx stalemodel scan .. It exits 1 on findings, so it also works as a CI check.
Where does the pricing data come from? From models.dev, fetched live, with a snapshot bundled for offline use.
Does it work outside Claude Code? It's a standard MCP server, so it should work in any MCP client. So far it has only been tested in Claude Code.
Contributing
Contributions are welcome, from people and from people working with AI agents. See CONTRIBUTING.md. Good first issues:
- Add a GitHub Action that runs
scanon pull requests - Add an option to flag current models that have a newer version
- Support Bedrock and Vertex model ID formats
- Add a
--fixoption that shows a diff of suggested replacements - Add a plugin icon
How pull requests work
- Open a PR. Fork the repo, work on a branch, and keep it to one change. Write a title that says what changes for users, because it becomes the changelog line:
feat:goes under Added andfix:under Fixed. - Automatic check. Code changes need tests, and
make testmust pass. Changes over 30 lines need a linked open issue (Closes #), and a PR can have at most 800 changed lines. If something is missing, a comment tells you what to fix. - Review. Claude reviews each PR automatically. Code PRs also get a security review and are tested in a sandbox. The review then merges the PR or asks for changes. PRs that change CI, agent settings, npm or Python dependencies, vendored code or build files can't be merged this way, and a comment says so. The same goes for anything the security review doesn't clear.
- Release. A merge that changes what users install becomes a new version within about two hours, with a GitHub Release and, if the project has one, its npm package. Docs and CI changes wait for the next release.
AI disclosure
This project was largely generated with Claude Code and reviewed by its maintainer.
About me
I'm Giulliano Macedo, and I build developer tools at GoTech Solutions. Follow along or get in touch:
- GitHub: GillMacedo
- LinkedIn: giulliano
- X: @giumacedo
If stalemodel helped you, a star helps others find it.
MIT licensed. Model data from models.dev (MIT).
Built by Giulliano Macedo, GoTech Solutions · LinkedIn · X