A
licenseNot graded
qualityA
maintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and create custom voices through AI APIs.
188 npm
MIT
PicoBerry MCP Server
by UModeler
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TDQS
A4/5.0
Scored across 14 tools
Disambiguation4/5
The tools mostly have distinct purposes, and descriptions clearly separate generation, post-processing, and retrieval. However, get_asset, wait_for_asset, and download_asset all return asset-related outcomes and could initially be confused, and generate_image vs generate_3d_from_image require careful reading to pick the right one.
Naming Consistency4/5
Most tools follow a clear verb_noun pattern (list_*, get_*, generate_*, download_*), but there are small deviations: generate_image lacks the "from_text" detail that generate_3d_from_image/text have, and parts_board is a noun phrase rather than a verb-based name. The overall style is readable and only mildly inconsistent.
Tool Count5/5
Fourteen tools cover generation, post-processing (remesh, texture, animate, parts_board), and asset management (list, get, wait, download, credits). This is a well-scoped number, and each tool has a clear role with no obvious bloat or excessive overlap.
Completeness4/5
The server covers core workflows: 2D and 3D generation, common post-processing transforms, result retrieval, and export. The main missing piece is an imported-3D-asset upload path (you can only modify assets created within the system) and asset deletion, but these are relatively minor gaps and do not cause dead ends in normal use.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive