A
licenseA
qualityB
maintenanceMCP server for Pixmax API enabling generation of images, video, text, audio, and 3D across dozens of models like Midjourney, Kling, and ElevenLabs.
10
MIT
Pixal3D-MCP
by Lightfielder
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TDQS
A3.6/5.0
Scored across 12 tools
Disambiguation4/5
Most tools have clearly distinct purposes (pipeline load/unload, inference, memory status vs cleanup, conda env management). The main overlap risk is between run_inference/run_inference_sequence and preview_model/preview_model_sequence, where the singular vs sequence variants could be confused, though the descriptions distinguish them adequately.
Naming Consistency5/5
All 12 tools use a consistent snake_case verb_noun pattern (load_pipeline, run_inference, get_memory_status, preview_model_sequence). Verb prefixes (load/unload/run/get/cleanup/list/preview) are used predictably throughout.
Tool Count5/5
12 tools is well-scoped for a 3D inference server, with distinct functional clusters (pipeline lifecycle, inference, memory, conda env, previews). Each tool appears to earn its place without redundancy.
Completeness4/5
The surface covers pipeline lifecycle, inference, memory management, conda environment handling, and preview rendering for both images and models. Minor gaps exist (e.g., no explicit batch/config inspection or pipeline config tools), but core workflows are well covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues