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Ai Model Lifecycle Index

MCP server · by oscarlopez-gif

Developer Tools Streamable HTTP v0.1.0

Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.

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Install

Run one of the commands below, then add the client config underneath.

Streamable HTTPhttps://lifecycle.oscar-lopez.com/mcp

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "ai-model-lifecycle-index": {
      "url": "https://lifecycle.oscar-lopez.com/mcp"
    }
  }
}

About this server

Ai Model Lifecycle Index is listed in the Developer Tools category of the MCPNav directory. It is distributed as Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Ai Model Lifecycle Index MCP server?

Ai Model Lifecycle Index is an MCP server by oscarlopez-gif. Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.

How do I install Ai Model Lifecycle Index?

Install it with: https://lifecycle.oscar-lopez.com/mcp. Then add the JSON config to your client's MCP settings and restart the client.

Is Ai Model Lifecycle Index free to use?

The MCP server itself is free to install. The source is public on https://github.com/oscarlopez-gif/ai-model-lifecycle-index. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Ai Model Lifecycle Index?

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