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Kiln

Kiln

by codeofaxel
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

C2.8/5.0

Scored across 862 tools

Disambiguation1/5

The tool surface is enormous and riddled with overlapping purposes: multiple slicing/printing one-shot pipelines (slice_and_print, run_quick_print, run_reslice_and_print, reprint_with_material, smart_reprint), many monitor variants (monitor_print, monitor_print_vision, watch_print, check_print_health, check_printer_health), numerous material recommendation tools, and many merge/compose tools with subtle differences. An agent would struggle to pick the right tool without reading lengthy descriptions, and some tools are explicitly retired aliases or internal panel helpers.

Naming Consistency3/5

Most names are snake_case and follow recognizable verb_noun or noun_verb patterns, but the huge surface mixes conventions: some are noun phrases (photo_relief, make_printable), some are internal-looking (kiln_viewer_payload), and many near-duplicates differ only by prefix or suffix (fleet_submit_job retired, cloud_push_* families). The naming is readable but not cleanly predictable across 862 tools.

Tool Count1/5

862 tools is an extreme mismatch for any MCP server, even a broad 3D printing platform. The set includes many tier-gated, retired, duplicate, internal, and highly specialized tools, making discovery and selection impractical for an agent.

Completeness4/5

The surface covers an enormous range: modeling, slicing, printer control, fleet management, materials, decorations, design versioning, fulfillment, billing, and diagnostics. While there are dead ends and aliases, the domain coverage is unusually complete; remaining gaps are minor relative to the breadth.

Maintenance

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