A
licenseA
qualityD
maintenanceMCP server for multi-provider AI image generation (AWS Bedrock, OpenAI, Google Gemini) enabling image generation, transformation, and editing through a unified interface.
4
1
MIT
Picsha AI MCP Server
Officialby picsha-ai
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TDQS
A3.8/5.0
Scored across 14 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: CRUD for assets, group creation, search, ingestion, AI analysis, moderation, and support escalation. Overlap between upload_asset and trigger_url_ingest is clarified by their descriptions (local file vs URL).
Naming Consistency5/5
Tool names uniformly follow snake_case with a verb_noun pattern (e.g., create_dam_group, get_asset, update_asset). This provides predictable naming for an agent to infer functionality.
Tool Count5/5
14 tools is well-scoped for a digital asset management platform with AI features. Each tool represents a distinct action without unnecessary redundancy, covering ingestion, search, retrieval, analysis, and administration.
Completeness4/5
Core asset lifecycle (create/read/update/delete), search, AI analysis, and moderation are covered. Missing update/deletion for groups and lack of bulk operations are minor gaps, but the surface is solid for typical workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues