A
licenseNot graded
qualityD
maintenanceEnables to generate 3D models from text and images, apply textures, and remesh models using the Meshy AI API.
6
MIT
Meshy MCP Server
by gwizards
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TDQS
A3.5/5.0
Scored across 36 tools
Disambiguation5/5
Each tool targets a distinct resource (e.g., text_to_3d, image_to_3d, retexture) and action (create, get, delete, list), with no overlap. Helper tools like wait_for_task and get_balance are clearly separate. An agent can easily distinguish purposes.
Naming Consistency5/5
All tools follow a strict 'category_action' snake_case pattern (e.g., text_to_3d_create, image_to_image_list). No mixing of conventions, and the naming is predictable and readable.
Tool Count4/5
36 tools is high, but justified by the breadth of the domain (text, image, multi-image, retexture, remesh, rigging, animation) where each feature requires CRUD operations plus a few utilities. Slightly above the ideal range, but not excessive given the complexity.
Completeness5/5
The tool set covers the full lifecycle for each 3D generation/modification feature: create, get status, delete, and list. Additionally, there are helpers (wait_for_task, get_balance) and supporting tools (text_to_image, image_to_image). No obvious gaps for the stated purpose of 3D asset creation and editing.
Maintenance
ActivityInactive
ResponsivenessNo issues