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dltpgml1112

Household Disruption Recovery MCP Server

by dltpgml1112

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables agents to read household context, capture draft tasks, analyze schedule ripple effects, and propose plans while enforcing human-only approval, stale-plan refusal, and idempotent requests.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables families to manage a shared calendar through natural-language or voice requests, exposing 24 typed tools for adding and moving events, detecting person and coverage clashes, enforcing learned family rules, asking members for help, and approving children's events. Conflicts are found by a deterministic engine with plain-English explanations, and every fix is ranked, confirmed, and undoable.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to manage household schedules by checking availability, proposing minimal changes, and requiring explicit human approval before executing any action.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables a local MCP host to read, plan, and recover a shared household departure schedule around people, a shared bathroom, completed tasks, and a fixed deadline after an interruption. It exposes tools to preview progress or duration changes and compare household-supplied recovery alternatives, with the exact stored draft applied only after explicit review.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables a household departure assistant that plans and coordinates shared preparation tasks, adapts to changed constraints such as route or weather, hands off unfinished tasks, and supports reversible device actions with durable receipts via MCP.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables facility managers and researchers to recover from shared-equipment outages by detecting every booking an outage breaks, proposing a deterministic, rule-checked replan, and recording an auditable trail of every action. No change is ever written without explicit human confirmation through MCP elicitation, so clients without a confirmation callback leave the schedule untouched.
      MIT