AI Model Retirement Lint MCP server

by jmshinhwa·io.github.jmshinhwa/ai-model-retirement-lint·v0.1.1

Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to

A89/100grade A

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Safety scan

A89/100

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If you have run it, two minutes of your experience saves the next person an afternoon.

No tool declarations could be read from the package source. They show once the server is installed.

scanner v0.1.5 · 2026-09-19 · same rubric, same numbers if you re-run it

no findings

Code scan5 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 0 days ago15/15
Maintainer identityregistry namespace matches repository owner6/10

Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

Runs npx -y @readystack/ai-model-retirement-lint on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add ai-model-retirement-lint -- npx -y @readystack/ai-model-retirement-lint

Is AI Model Retirement Lint MCP server safe?: Yes, by our scan: it is graded A (89/100). Read the AI Model Retirement Lint safety report
How do I install AI Model Retirement Lint?: It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does AI Model Retirement Lint need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Model Retirement Lint maintained?: The last commit was in the last day (2026-09-19). The latest release is v0.1.1.
What can I use instead of AI Model Retirement Lint?: Servers from other publishers that do the same job: ctxlint MCP server, Skillmd MCP server and Particles MCP server. Compare all AI Model Retirement Lint alternatives.

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