A
licenseNot graded
qualityB
maintenanceEnables image generation through any OpenAI-compatible images/generations endpoint, saving results to disk and returning them inline for the model.
MIT
opencode-image-mcp
by nk34player
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TDQS
A4.4/5.0
Scored across 6 tools
Disambiguation5/5
Each tool serves a distinct function: discovery (list_models, list_providers), provider lifecycle management (add_provider, remove_provider), configuration (set_default_model), and the core action (generate_image). There is no overlap or ambiguity in purpose.
Naming Consistency5/5
All tool names follow a consistent snake_case verb_noun pattern: list_models, list_providers, add_provider, remove_provider, set_default_model, generate_image. The naming style is uniform and predictable.
Tool Count5/5
Six tools is well-scoped for an image generation MCP server. Each tool earns its place and covers provider management, model discovery, default selection, and generation without redundancy.
Completeness5/5
The tool surface covers the full lifecycle: configure providers (add/remove/list), discover models (list_models), set defaults, and generate/edit images. No obvious gaps exist for the server's stated purpose.
Maintenance
ActivityMaintained
ResponsivenessNo issues