A
licenseA
qualityC
maintenanceEnables AI image generation, editing, and upscaling via Google Gemini and Imagen models, supporting dynamic model switching and multiple MCP-compatible clients.
1
2
MIT
Gemini Image MCP
by jk7g14
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TDQS
B3.4/5.0
Scored across 5 tools
Disambiguation4/5
The tools are mostly distinct in purpose, with clear separation between image generation, editing, and configuration. However, 'edit_image' and the session tools ('start_image_session', 'continue_image_session') could cause some confusion, as both involve editing images, though the session tools explicitly handle multi-turn contexts.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (e.g., generate_image, edit_image, get_image_config_info). The naming is predictable and readable throughout, with no deviations in style or convention.
Tool Count5/5
With 5 tools, the server is well-scoped for image generation and editing tasks. Each tool has a clear role, and the count is appropriate for covering core operations without being overly sparse or bloated.
Completeness4/5
The tool set covers key operations like generation, editing, and configuration, with added support for multi-turn sessions. A minor gap is the lack of a tool for deleting or managing images, but this is not critical for the core functionality, and agents can likely work around it.
Maintenance
ActivityInactive
ResponsivenessNo issues