Stalemodel

Name: Stalemodel
Author: GillMacedo

by GillMacedoversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.GillMacedo/stalemodel

Install

Overview

Description from the maker (original English)

Catch outdated AI model names, and look up current models, prices and limits.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiEarly↓ 615/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "stalemodel": {
      "command": "npx",
      "args": [
        "-y",
        "stalemodel",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add stalemodel -- npx -y stalemodel serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "stalemodel": {
      "command": "npx",
      "args": [
        "-y",
        "stalemodel",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "stalemodel": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "stalemodel",
        "serve"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account GillMacedo, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 18955 servers in this category
Published to the registry more recently than 80% of the other 18955 servers in this category
Basic checks equal to or better than 100% of the other 18955 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Stalemodel safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Backpack

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

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Runs in the cloud✓ desktopcommander.app

Install

Backpack

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.
try is a suggestion based on family and release date. Check price and behavior before switching.
scan only sees quoted IDs, so it misses IDs built at runtime. It also doesn't flag bare gpt-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 scan on pull requests
Add an option to flag current models that have a newer version
Support Bedrock and Vertex model ID formats
Add a --fix option 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 and fix: under Fixed.
Automatic check. Code changes need tests, and make test must 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

Stalemodel

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Backpack

README from the maker

stalemodel: find deprecated AI model names in your code

What you can ask your agent

Install

Usage

MCP tools

Limits

FAQ

Contributing

How pull requests work

AI disclosure

About me