← llmintel.ai

INDIVIDUAL MCP TOOL

recent_lifecycle_changes

Lifecycle state changes across all tracked providers, newest first.

llmintel.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://llmintel.ai/v1/mcp

No auth detected

Connect to this endpoint to inspect the live schema for recent_lifecycle_changes and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

llmintel.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.llmintel]
url = "https://llmintel.ai/v1/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "llmintel": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: llmintel
Remote MCP URL: https://llmintel.ai/v1/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "llmintel": {
      "type": "http",
      "url": "https://llmintel.ai/v1/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "llmintel",
  "transport": "streamable-http",
  "url": "https://llmintel.ai/v1/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • check_model — Check whether an LLM model id is safe to use, deprecated, or retired, and what to migrate to.
  • list_retiring_models — List tracked models scheduled to retire within a time window, soonest first.
  • suggest_replacement — 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.
  • search_models — List tracked models, optionally filtered by provider and lifecycle state.