How do I install LLMIntel Model Lifecycle?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does LLMIntel Model Lifecycle need an API key?

The publisher lists these environment variables: LLMINTEL_API_KEY, LLMINTEL_BASE_URL.

What transport does LLMIntel Model Lifecycle use?

LLMIntel Model Lifecycle is reached over HTTP.

When was LLMIntel Model Lifecycle last checked?

Last checked 2026-10-19. Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.

LLMIntel Model Lifecycle MCP server

Power your agent

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The publisher's own URL. Not a PlugMCP endpoint.

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Server URL

https://llmintel.ai/v1/mcp

Credentials from the publisher

LLMINTEL_API_KEY — Optional. The catalog is public and needs no key; supplying one only raises the rate-limit budget.
LLMINTEL_BASE_URL — Optional. Override the catalog origin (defaults to https://llmintel.ai). Useful for self-hosted or staging deployments.

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http ai.llmintel-model-lifecycle https://llmintel.ai/v1/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "ai.llmintel-model-lifecycle": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://llmintel.ai/v1/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

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Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version

From the publisher

Documentation

@llmintel/mcp

An MCP server that tells your coding agent whether a model id is safe to use.

LLMs are trained on a snapshot of the world and will confidently write gpt-4-32k into your code long after it stops answering. This server gives the agent a live lookup for whether a model is deprecated and when it stops working. It returns the replacement too. Answers are normalized across OpenAI, Anthropic, Azure AI Foundry, AWS Bedrock, Google, and Cohere, and parsed from each provider's own deprecation pages.

Tool	Returns
`check_model`	Whether one model id is safe to use: lifecycle state, the retirement deadline in days, the replacement, and the source link.
`list_retiring_models`	What breaks in the next 180 days (default; configurable up to 1095). Past-due models are listed first, then upcoming ones soonest-first.
`suggest_replacement`	The provider's own recommendation for what to move to. Falls back to same-provider active models when none was published.
`search_models`	Catalog search filtered by provider and lifecycle state.
`recent_lifecycle_changes`	The change feed across all providers, for questions like "what was deprecated this month".

Variable	Default	Purpose
`LLMINTEL_API_KEY`	none	Raises the rate-limit budget. The catalog itself is public, so you do not need this.
`LLMINTEL_BASE_URL`	`https://llmintel.ai`	Point at a self-hosted or staging catalog.

Directory	Entry
Official MCP Registry	`ai.llmintel/model-lifecycle`
Glama	`@hivemindunit/llmintel-mcp`
Smithery	`llmintel/model-lifecycle`
npm	`@llmintel/mcp`

Tool	What it does
check_model	Check whether an LLM model id is safe to use, deprecated, or retired, and what to migrate to. Accepts the exact string used in code (e.g. 'gpt-4o', 'claude-sonnet-4-5-20250929', 'anthropic/claude-opus-4-1'). Call this before writing or changing any hardcoded model id.
list_retiring_models	List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.
suggest_replacement	Given a deprecated or retiring model, return the provider's recommended replacement(s) and, when none is published, active models from the same provider to consider.
search_models	List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.
recent_lifecycle_changes	Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.

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Server facts

Documentation

@llmintel/mcp

Install

Cursor

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Claude Desktop

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Tools

Example

Design notes

Configuration

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Where to find it

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LLMIntel Model Lifecycle

Tools

Questions

How do I install LLMIntel Model Lifecycle?

Does LLMIntel Model Lifecycle need an API key?

What transport does LLMIntel Model Lifecycle use?

When was LLMIntel Model Lifecycle last checked?