Schema | LLMIntel Model Lifecycle

LLMIntel Model Lifecycle

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LLMINTEL_API_KEY`	No	Raises the rate-limit budget. The catalog itself is public, so you do not need this.
`LLMINTEL_BASE_URL`	No	Point at a self-hosted or staging catalog.	https://llmintel.ai

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
check_modelA	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.
list_retiring_modelsA	List tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.
suggest_replacementA	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_modelsA	List tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.
recent_lifecycle_changesA	Lifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hivemindunit/llmintel-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server