A
licenseA
qualityD
maintenanceA multi-provider MCP server that enables AI agents to generate and edit images across OpenAI, Google Gemini, Azure, Vertex, and OpenRouter with a unified API.
3
17
Apache 2.0
universal-image-mcp
by manu-mishra
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TDQS
A4.3/5.0
Scored across 4 tools
Disambiguation4/5
The tools are mostly distinct: list_models, generate_image, transform_image, and prompt_guide each have clear roles. However, generate_image's optional reference_image overlaps with transform_image's purpose of editing an existing image, which could cause confusion when choosing between them.
Naming Consistency4/5
The first three tools follow a consistent verb_noun pattern (list_models, generate_image, transform_image). The exception is prompt_guide, which is a noun phrase rather than a verb, creating a minor deviation from the otherwise uniform naming convention.
Tool Count5/5
With 4 tools, the server is well-scoped for its stated purpose. Each tool serves an essential function in the image generation workflow, and the count is neither excessive nor too sparse.
Completeness4/5
The server covers the core image generation lifecycle: listing models, generating images, and transforming existing ones. A gap is the lack of model capability details beyond IDs, which would help agents choose the right model for a task, but this can be worked around.
Maintenance
ActivityInactive
ResponsivenessNo issues