Thrixel MCP Serverofficial
A
licenseA
qualityB
maintenanceEnables AI agents to create, edit, detail, and download game-ready 3D models through natural conversation, with visual feedback on each result.
12
563 PyPI
MIT
game-asset-mcp
by theisegoria
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TDQS
A4.3/5.0
Scored across 20 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: generation (reference, variation, full 3D), selection, downloading, inspection, validation, normalization, PBR extraction, sound effects, rigging, animation, retopology, batch operations, and spend reporting. Even similar tools like generate_asset_reference and create_game_prop are differentiated by their roles (raw generation vs. convenience wrapper that stops at candidate selection).
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (e.g., get_asset_job, create_3d_asset, download_asset, validate_game_asset). Minor variation between 'create_' and 'generate_' is acceptable since they reflect different actions (creating a final asset vs. generating intermediate references). The naming is highly predictable.
Tool Count4/5
With 20 tools, the surface is broad but well-scoped for a comprehensive game asset pipeline covering generation, modification, validation, and auxiliary operations. It is on the higher end of typical, but each tool earns its place; no redundant or trivial tools exist.
Completeness4/5
The toolset covers the full asset lifecycle: generate references, select, create 3D, download, inspect, validate, normalize, extract PBR, rig, animate, retopologize, and batch prepare. Minor gaps include no explicit job deletion or advanced manual editing (e.g., UV sculpting), but these are not core to the stated purpose and can be worked around.
Maintenance
ActivityMaintained
ResponsivenessNo issues