LLMIntel Model Lifecycle

MCP server · by llmintel

AI & ML npmStreamable HTTP v0.2.0

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

View source ↗ Website ↗ Generate config for multiple servers More servers

Install

Pin version registry version 0.2.0

npm
npx -y @llmintel/mcp

npm
npx -y @llmintel/mcp@0.2.0

Streamable HTTP
https://llmintel.ai/v1/mcp

Setup by client

Pick your client — the config below is generated for this server (both local and hosted-endpoint forms). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp@0.2.0"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

Remote (hosted) endpoint

https://llmintel.ai/v1/mcp

Claude Desktop: Settings → Connectors → Add custom connector, paste this URL.

Format verified against the official Claude Desktop docs ↗.

terminal

claude mcp add --env LLMINTEL_API_KEY=<YOUR_LLMINTEL_API_KEY> model-lifecycle -- npx -y @llmintel/mcp

claude mcp add --env LLMINTEL_API_KEY=<YOUR_LLMINTEL_API_KEY> model-lifecycle -- npx -y @llmintel/mcp@0.2.0

terminal

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

Format verified against the official Claude Code docs ↗.

.cursor/mcp.json

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp@0.2.0"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

.cursor/mcp.json (hosted endpoint)

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

Format verified against the official Cursor docs ↗.

.vscode/mcp.json

{
  "servers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

{
  "servers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp@0.2.0"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

.vscode/mcp.json (hosted endpoint)

{
  "servers": {
    "model-lifecycle": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}

Format verified against the official VS Code docs ↗.

mcp_config.json

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

{
  "mcpServers": {
    "model-lifecycle": {
      "command": "npx",
      "args": [
        "-y",
        "@llmintel/mcp@0.2.0"
      ],
      "env": {
        "LLMINTEL_API_KEY": "<YOUR_LLMINTEL_API_KEY>"
      }
    }
  }
}

mcp_config.json (hosted endpoint)

{
  "mcpServers": {
    "model-lifecycle": {
      "serverUrl": "https://llmintel.ai/v1/mcp"
    }
  }
}

Format verified against the official Windsurf docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

LLMINTEL_API_KEY secret — 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.

GitHub

⭐ 1 stars · 最近更新于 92 天前 · MIT license

These star and push figures are for the shared repository — 2 listings on this site point at the same repository.

About this server

@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 w…

Summary from the project README — github.com/hivemindunit/llmintel-mcp

Distributed as npm, Streamable HTTP, listed under AI & ML. Review our MCP security guide before granting access to real data.

Frequently asked questions

What does the LLMIntel Model Lifecycle MCP server do?

How do I install LLMIntel Model Lifecycle?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is LLMIntel Model Lifecycle free to use?

The MCP server itself is free to install. The source is public on https://github.com/hivemindunit/llmintel-mcp. Any third-party service it calls may require its own API key and account.

Which clients support LLMIntel Model Lifecycle?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

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