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            "name": "check_model",
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            "description": "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.",
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          },
          {
            "name": "list_retiring_models",
            "title": "List models retiring soon",
            "description": "List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.",
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              "$schema": "http://json-schema.org/draft-07/schema#",
              "additionalProperties": false,
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                    "anthropic",
                    "azure",
                    "bedrock",
                    "google",
                    "cohere",
                    "mistral"
                  ],
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                "withinDays": {
                  "default": 180,
                  "description": "Only include models retiring within this many days. Defaults to 180.",
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          {
            "name": "suggest_replacement",
            "title": "Suggest a replacement for a model",
            "description": "Given a deprecated or retiring model, return the provider's recommended replacement(s) and, when none is published, active models from the same provider to consider.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
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              "readOnlyHint": true
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          {
            "name": "search_models",
            "title": "Search the model catalog",
            "description": "List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.",
            "inputSchema": {
              "$schema": "http://json-schema.org/draft-07/schema#",
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                    "cohere",
                    "mistral"
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            "annotations": {
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      "name": "LLMIntel Model Lifecycle",
      "note": "Indexed from the official MCP registry: facts and our own checks, not reviewed, so no score, grade or rank.",
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      "source": "the official MCP registry",
      "sourceUrl": "https://registry.modelcontextprotocol.io/v0.1/servers?search=ai.llmintel/model-lifecycle",
      "summary": "Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.",
      "updatedAt": "2026-07-28T03:18:16Z",
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  "markdown": "# LLMIntel Model Lifecycle\n\n\u003e Indexed, not reviewed: facts from the official MCP registry and our own checks. No score, grade or rank, and not in the rankings until the panel reviews it. How the index works: https://www.anchorterminal.com/indexed/\n\n- Kind: MCP server, by llmintel.ai (https://llmintel.ai)\n- Category: Model APIs \u0026 inference (https://www.anchorterminal.com/categories/inference.md)\n- Listed because: It's published in the registry under llmintel.ai, a namespace the registry only gives to whoever proves they control that domain.\n- What the official MCP registry says: Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.\n\n## Facts\n\n- MCP registry: `ai.llmintel/model-lifecycle` 0.2.0\n- Endpoint: https://llmintel.ai/v1/mcp (streamable HTTP)\n- Package: npm `@llmintel/mcp` (stdio)\n- Source: https://github.com/hivemindunit/llmintel-mcp\n- Website: https://llmintel.ai\n- npm downloads a week: 53\n- GitHub stars: 1\n- Registry entry updated: 2026-07-28\n\n## Tools\n\n- Tools it lists (5, about 924 tokens of context, `tools/list` without credentials over MCP 2025-11-25, checked 2026-10-04 22:20 UTC):\n  - `check_model` (read-only): 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',…\n  - `list_retiring_models` (read-only): List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.\n  - `suggest_replacement` (read-only): 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…\n  - `search_models` (read-only): List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.\n  - `recent_lifecycle_changes` (read-only): Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.\n- How its tools read to an agent (0 errors, 0 warnings, 1 note, about 924 tokens; rules at https://www.anchorterminal.com/check.md; not part of the score):\n  - note TC24 server: 5 of 5 tools have no outputSchema\n\n- JSON: https://www.anchorterminal.com/api/v1/tools/llmintel-model-lifecycle.json\n- Being indexed says nothing about quality, and nobody can pay for it. Ask for a review: https://www.anchorterminal.com/builders/#claiming\n",
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    "docs": "https://www.anchorterminal.com/docs/",
    "generatedAt": "2026-10-05",
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    "methodology": "0.3",
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    "runLabel": "October 2026 research run"
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    "description": "LLMIntel Model Lifecycle, an MCP server by llmintel.ai, listed from the official MCP registry. Indexed, not reviewed: facts and our own checks, no score or ranking. Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to.",
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