Comment by VitalStack

The pattern of serving authoritative domain context via MCP rather than relying on model training data generalizes well beyond API specs. We've seen the same dynamic building a supplement-drug interaction MCP at VitalStack: once an AI assistant can query a structured interaction database rather than approximate from training data, the failure mode shifts from confident hallucination to an explicit "no data found for this combination." One question on the implementation: when an API provider ships a breaking change, what's the latency between that release and the Context Plugin updating its served specification—and is there a signal to the AI that the context may be stale?