AgentXM

LLMIntel Model Lifecycle

mcp remote · streamable-http · v0.2.0 · source: crawl

https://llmintel.ai/v1/mcp

https://github.com/hivemindunit/llmintel-mcp

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

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Works

100

Verified Oct 31, 2026 · p50 622 ms · p95 882 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'llmintel'
tools_listed15pass5 tools
schema_complete15pass5 of 5 tools have a description and a typed schema
latency_p5010passp50 622 ms
latency_p955passp95 882 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (5)

NameDescriptionSchema
search_modelsList tracked models, optionally filtered by provider and lifecycle state. Use this to discover what is currently available from a provider.typed
recent_lifecycle_changesLifecycle state changes across all tracked providers, newest first. Use this to answer 'what model deprecations happened recently?'.typed
check_modelCheck 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-opustyped
list_retiring_modelsList tracked models scheduled to retire within a time window, soonest first. Use this to audit a codebase or plan migration work.typed
suggest_replacementGiven 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.typed

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