AI Model Retirement Lint runs on your own machine — the client starts it, so there is no endpoint to ping. 304 installs a week from npm.
Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add ai-model-retirement-lint -- npx -y @readystack/ai-model-retirement-lint
{
"mcpServers": {
"ai-model-retirement-lint": {
"args": [
"-y",
"@readystack/ai-model-retirement-lint"
],
"command": "npx"
}
}
}
[mcp_servers.ai-model-retirement-lint]
command = "npx"
args = ["-y", "@readystack/ai-model-retirement-lint"]
{
"mcpServers": {
"ai-model-retirement-lint": {
"args": [
"-y",
"@readystack/ai-model-retirement-lint"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"ai-model-retirement-lint": {
"args": [
"-y",
"@readystack/ai-model-retirement-lint"
],
"command": "npx"
}
}
}
Find the LLM/AI calls you didn't need — where plain code or a regex does the job. No model.
Names every schedule line in the file you have open that fires at the wrong hour, twice, or never at
Finds the ad and analytics code that keeps firing after a visitor’s browser has already sent Global
Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.
Pin visual feedback on any live web page and send it to Claude Code, Cursor or your AI agent.
Reads security headers and CSP line by line in your config file and names the lines that silently do
Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.
Names every line in the file you have open that starts a recurring cloud charge, with the published
Answers built from our own checks of this server.