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LLMIntel Model Lifecycle MCP server

online · 100% uptime
by llmintel.ai·ai.llmintel/model-lifecycle·v0.2.0·1 stars
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Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.

A89/100grade A
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Safety scan
A89/100

full report

Adoption
Growing

1 stars48 downloads/wk

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LLMIntel Model Lifecycle tools (5)

write = sends, deletes, buys or posts
  • check_modelFree

    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_modelsFree

    List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.

  • recent_lifecycle_changesFree

    Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.

  • search_modelsFree

    List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.

  • suggest_replacementFree

    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.

Public scan report

scanner v0.1.9 · 2026-09-24 · same rubric, same numbers if you re-run it

no findings
  • Code scan5 source files scanned25/25
  • Live reliabilityremote reachable in 906ms20/20
  • Tool poisoning5 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 58 days ago12/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
Overall 89/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How LLMIntel Model Lifecycle compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
89/100
higher than 83% of 4,460 AI and agents servers
Tools
5
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
450 ms
faster than 30% of 2,331 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
48
more than 40% of 1,538 AI and agents servers with a package

What its tools let an agent do: 5 read

Install LLMIntel Model Lifecycle in Claude Code, Cursor or VS Code

claude mcp add --transport http model-lifecycle https://llmintel.ai/v1/mcp
Add to Cursor

What the publisher says

From the LLMIntel Model Lifecycle repository's README, as published. We do not edit it. Read it on GitHub

@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.

No API key, no signup. The catalog is public.

Install

Add it to any MCP host. The package runs straight from npm via npx.

Cursor

In .cursor/mcp.json:

{
  "mcpServers": {
    "llmintel": {
      "command": "npx",
      "args": ["-y", "@llmintel/mcp"]
    }
  }
}

Claude Code

claude mcp add llmintel -- npx -y @llmintel/mcp

Claude Desktop

Same shape as the Cursor block above, in claudedesktopconfig.json.

Hosted endpoint (no install)

The same five tools are served over Streamable HTTP at https://llmintel.ai/v1/mcp. Hosts that take a URL need no Node and no package:

{
  "mcpServers": {
    "llmintel": {
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}

The endpoint is stateless and read-only. It answers from the same catalog the npm package queries.

Tools

Example

You: Before we ship this, check the model ids in src/agents/.

The agent calls check_model for each one and gets back:

DO NOT USE — this model is retired; API calls to it fail.

"claude-sonnet-4-20250514" resolves to the tracked model anthropic/claude-sonnet-4-20250514.
Model: claude-sonnet-4-20250514 (anthropic/claude-sonnet-4-20250514)
Provider: anthropic
Lifecycle state: retired — retired; calls fail
Deprecated: 2026-04-14 (105 days ago)
Retirement: 2026-06-15 (43 days ago)

The provider has not named a replacement. Use suggest_replacement for options.
Pricing/limits: $3/1M in · $15/1M out

Source: https://docs.anthropic.com/en/docs/about-claude/model-deprecations
Provider's own term: "Retired"

Deadlines are always given in days, because a model cannot reliably judge whether 2026-07-30 is soon.

Design notes

A failed lookup is never a safety verdict. If the catalog is unreachable, the tool returns an MCP error and says so. An agent that read a network failure as "no deprecation found" would happily ship a retired model id. A model that simply isn't tracked gets the same treatment: it returns "not in the catalog, verify with the provider", never "OK".

Pass whatever string is literally in the code (gpt-4o, anthropic/claude-opus-4-1, azure/gpt-4o) and it resolves to the canonical tracked model.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

LLMIntel Model Lifecycle: common questions

Is LLMIntel Model Lifecycle MCP server safe?
Yes, by our scan: it is graded A (89/100). Read the LLMIntel Model Lifecycle safety report
How do I install LLMIntel Model Lifecycle?
It runs remotely at llmintel.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does LLMIntel Model Lifecycle need an API key?
Yes. The registry entry asks for LLMINTEL_API_KEY.
Is LLMIntel Model Lifecycle maintained?
The last commit was 98 days ago (2026-07-29). The latest release is v0.2.0.
Is LLMIntel Model Lifecycle up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of LLMIntel Model Lifecycle?
Servers from other publishers that do the same job: Kiln MCP server, Vibe Check MCP server and paper-preflight MCP server.
How does LLMIntel Model Lifecycle compare with other AI and agents MCP servers?
safety score 89/100 (higher than 83% of 4,460 AI and agents servers); tools 5 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to LLMIntel Model Lifecycle

Same job from other publishers: the closest match first, then the best rated.

  • Kiln
    Spawn an object into existence: describe it, and your agent designs it, checks it, and 3D prints it.
    B
  • Vibe Check
    Metacognitive AI agent oversight: adaptive CPI interrupts for alignment, reflection and safety
    B
  • paper-preflight
    Checks every LaTeX reference against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex. No LLM.
    A