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LLMIntel Model Lifecycle

R0· no sign-in

Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.

v0.2.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality82good
Trust92of 100
Uptime, 30 days97%
Latency p50256 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "model-lifecycle": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}
claude mcp add --transport http model-lifecycle https://llmintel.ai/v1/mcp
[mcp_servers.model-lifecycle]
url = "https://llmintel.ai/v1/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "model-lifecycle": {
      "type": "remote",
      "url": "https://llmintel.ai/v1/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "model-lifecycle": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=model-lifecycle&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbGxtaW50ZWwuYWkvdjEvbWNwIn0%3D"
}
{
  "servers": {
    "model-lifecycle": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}
{
  "mcpServers": {
    "model-lifecycle": {
      "httpUrl": "https://llmintel.ai/v1/mcp"
    }
  }
}
extensions:
  "model-lifecycle":
    enabled: true
    name: "model-lifecycle"
    type: streamable_http
    uri: "https://llmintel.ai/v1/mcp"
    timeout: 300

Quality 82 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene86 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations5 of 5 tools declare readOnlyHint or destructiveHint
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: list_retiring_models (destructiveHint, idempotentHint); suggest_replacement (destructiveHint, idempotentHint); check_model (destructiveHint, idempotentHint); …
  • pass
    tools.token_costabout 760 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changes3 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependencies67 · weight 15
  • pass
    deps.known_vulnsno known advisory in 98 resolved packages
  • fail
    deps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or later
  • pass
    deps.resolvable@llmintel/[email protected] resolved: 98 packages

5 tools, about 760 tokens to load them all · tool set 0c3719002cac · tools last changed 2026-10-20 · checked 2026-10-20 12:45 UTC

Tool changes

  • recent_lifecycle_changeschangedinput schema
  • search_modelschangedinput schema
  • list_retiring_modelschangedinput schema

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 92 / 100

provenance85
liveness99
freshness85
hygiene100

+repository +dns-namespace +website +reachable +uptime-97% ~updated-84d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

@llmintel/[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19

advisoryseveritypackagefixed in
GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP serverhigh@modelcontextprotocol/[email protected]MCP SDK, directfixed in 1.31.0

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://llmintel.ai/v1/mcp streamable-httpnoneyes97%256 ms2025-11-252026-10-20
packageregistryversionruntimesecrets
@llmintel/mcpnpm0.2.0–LLMINTEL_API_KEY

Tools (5)

check_modelread-onlyCheck 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_modelsread-onlyList tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.
recent_lifecycle_changesread-onlyLifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.
search_modelsread-onlyList tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.
suggest_replacementread-onlyGiven 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.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "ai.llmintel/model-lifecycle",
  "icons": [
    {
      "src": "https://llmintel.ai/logo.svg",
      "sizes": [
        "any"
      ],
      "mimeType": "image/svg+xml"
    },
    {
      "src": "https://llmintel.ai/logo.png",
      "sizes": [
        "400x400"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "LLMIntel Model Lifecycle",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://llmintel.ai/v1/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.2.0",
  "packages": [
    {
      "version": "0.2.0",
      "transport": {
        "type": "stdio"
      },
      "identifier": "@llmintel/mcp",
      "registryType": "npm",
      "registryBaseUrl": "https://registry.npmjs.org",
      "environmentVariables": [
        {
          "name": "LLMINTEL_API_KEY",
          "isSecret": true,
          "description": "Optional. The catalog is public and needs no key; supplying one only raises the rate-limit budget."
        },
        {
          "name": "LLMINTEL_BASE_URL",
          "description": "Optional. Override the catalog origin (defaults to https://llmintel.ai). Useful for self-hosted or staging deployments."
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/hivemindunit/llmintel-mcp",
    "source": "github"
  },
  "websiteUrl": "https://llmintel.ai",
  "description": "Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to."
}