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mac-doctor-mcp
by bmdy6

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables an AI assistant to measure macOS disk usage, investigate unfamiliar files and folders, identify cleanup candidates, and prepare numbered cleanup proposals that move approved items to the Trash only after server-side path checks.
      29 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI clients to inspect local RAM, commit, page file, disk usage, top processes, disk scans, duplicate files, startup apps, recent changes, and reports. It also generates approval-gated plans for cleanup, file moves, and startup disabling without changing the PC.
      35 PyPI
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    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to scan a Mac for reclaimable disk space and safely move selected items to the Trash, with dry-run defaults, protected paths, and confirmation before permanent deletion.
      12
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to scan a developer machine for disk space hogs, audit git worktrees for stale or orphaned ones, re-check individual findings, and run allowlisted cleanup actions as dry runs unless explicitly confirmed. Risky items are reported with warnings and refused by default.
      1
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to analyze why a Windows drive is full, plan safe cleanup, and apply changes only within user-configured limits. All actions are recorded and reversible, and nothing can be permanently deleted.
      1
      -
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to scan local disks for developer caches, large unused videos, and old logs, present candidates for approval, and move only approved items to the operating system trash so they can be restored while protecting system folders.
      4
      31 PyPI
      MIT

    TDQS

    A3.7/5.0

    Scored across 9 tools

    Disambiguation4/5

    The three inspect_* tools are cleanly separated by resource (memory, storage, hardware), and the plan/apply/purge flow is explicit about which step mutates state. The only soft boundary is rollback vs. recover, both of which restore files, but the descriptions distinguish completed-plan rollback from repairing interrupted moves.

    Naming Consistency4/5

    Most names follow a verb_noun pattern (inspect_memory, plan_cleanup, apply_plan, list_quarantine, purge_quarantine), with consistent snake_case throughout. The bare verbs 'rollback' and 'recover' are the only deviations, and they remain unambiguous.

    Tool Count5/5

    Nine tools map exactly onto the disk-cleanup lifecycle: three inspectors, plan, apply, quarantine listing, purge, rollback, and recovery. No tool feels redundant or missing from the count perspective.

    Completeness4/5

    The surface covers the full inspect → plan → apply → quarantine → purge/rollback/recover lifecycle, including non-reversible and interrupted-operation paths. Minor gaps: there is no tool to list or discard a stored but unapplied plan, and cleanup roots appear to be configuration-only rather than inspectable/modifiable.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues