A remote MCP server that tells an assistant whether an AI model identifier is deprecated, retiring, or has silently changed in price, context window, or ability
What you can do
Check a single model identifier for deprecation, retirement, or silent changes such as price, context window, and capabilities, accepting provider or SDK spellings like gpt-4-turbo or azure/gpt-4.1-mini. Check many model identifiers at once and report which are retired or scheduled for retirement, useful for auditing a codebase or config. List models with an announced retirement date inside a horizon, soonest first. Review recent breaking changes across AI model APIs, one entry per real upstream change.
When to use it
Use it before writing a model identifier into code, or when auditing a codebase or configuration for models that are retired or scheduled for retirement. It also helps when you need to know about upcoming retirements or recent breaking changes in model APIs.
Requirements
A remote endpoint at isitdeprecated.com over streamable HTTP. No authentication, environment variables, or headers are declared.
Before you install
No credentials, payments, or write actions are declared. The server is a third-party service, so model identifiers you check are sent to it.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.isitdeprecated%2Fisitdeprecated/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Check whether an AI model identifier is deprecated, retiring, or has silently changed (price, context window, capabilities). Accepts any spelling a provider or SDK uses, e.g. 'gpt-4-turbo', 'azure/gpt-4.1-mini', 'claude-opus-4-1-20250805'. Call this before writing a model identifier into code.
Parametersmodelrequired
check_models
Check many model identifiers at once and report which are retired or scheduled for retirement. Use when auditing a codebase or config.
Parametersmodelsrequired
upcoming_retirements
List models with an announced retirement date inside a horizon, soonest first.
Parameterswithin_days
recent_changes
Recent breaking changes across AI model APIs: price moves, context-window cuts, removed capabilities, removals. One entry per real upstream change.
Parameterslimitmin_severity
Version history
1
v0.1.0LatestSep 16, 2026
Score
72%
72% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Publish an icon in the registry entry.
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.