AI support agents drop all conversation context on handoff to a human so customers repeat their whole story and leave unhappy even when the issue gets fixed

When an AI support agent hands off to a human, the conversation context dies at the boundary. The human opens a blank ticket, the customer repeats the whole story, and satisfaction drops even though the issue eventually gets fixed. Every major platform handles escalation only inside its own stack; none produces a portable typed handoff document a human in a different tool can open and read cold. This MCP server sits between any AI support agent and any human helpdesk: it intercepts the escalation signal, packages the conversation into a structured typed summary with intent, attempted resolutions, sentiment trajectory, and recommended next action, then drops that context into whichever tool the human is using, so cross-stack escalation finally works and the human picks up informed.