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orcaslicer-mcp

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    Wraps the OrcaSlicer CLI to enable AI agents to slice 3D models, run parameter sweeps, and analyze G-code.
    68 PyPI
    1
    MIT

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TDQS

A4/5.0

Scored across 53 tools

Disambiguation4/5

Descriptions are unusually thorough and explicitly cross-reference alternatives ('use X instead of Y'), which makes even near-neighbors like slice/slice_and_wait/apply_and_slice and compare_settings/compare_slices separable. A few genuine overlaps remain: find_config_keys vs search_settings, check_placement vs diagnose_plate, and recall_prints vs list_print_history, but the docs largely disambiguate them.

Naming Consistency4/5

The set is almost entirely consistent snake_case verb_noun (get_status, set_config, list_plates, delete_preset). Minor deviations are a handful of bare verbs/adjectives like consult, remember, and recall_prints, but nothing that breaks the pattern.

Tool Count2/5

53 tools is far beyond the 3-15 sweet spot and well past the 25+ 'heavy' threshold. The domain (slicing, presets, objects, plates, printer monitoring, outcomes, diagnostics) is broad, but the surface is bloated with many overlapping convenience variants (slice, slice_and_wait, apply_and_slice, compare_settings, compare_slices, get_slice_status, get_slice_warnings, get_slice_breakdown).

Completeness5/5

Coverage is exhaustive: full CRUD for objects, plates, and presets, config read/write, multiple slicing paths, G-code save/render/describe, printer status/history, physics and placement checks, and persistent memory. Lifecycle for every stated sub-domain appears closed with no obvious dead ends.

Maintenance

ActivityActive
ResponsivenessResponsive