A
licenseNot graded
qualityA
maintenanceEnables AI agents to generate images via multiple providers like OpenAI and Google, with automatic failover and configurable retry settings.
171
MIT
imagen-mcp
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TDQS
A4.1/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: direct generation, conversational refinement, editing, batch generation, cost estimation, and listing of conversations/models/providers. Overlaps are minimal and resolved by detailed descriptions.
Naming Consistency4/5
Most tools follow verb_noun snake_case (e.g., edit_image, generate_image), but 'conversational_image' uses an adjective instead of a verb, creating a slight inconsistency.
Tool Count5/5
With 8 tools covering generation, editing, batch processing, cost estimation, and listing functions, the count is well-scoped for an image generation server without being too many or too few.
Completeness4/5
The tool surface covers core generation, editing, batch, and estimation needs. Minor gaps exist (e.g., no deletion tool or detailed image metadata viewer), but the essential workflows are supported.
Maintenance
ActivitySlowing
ResponsivenessNo issues