minimax-image-mcp
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- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI image generation using the minimax/image-01 model via Replicate API. Supports multiple aspect ratios, batch generation of up to 9 images, prompt optimization, and character reference images for consistent character generation.-
- AlicenseNot gradedqualityAmaintenanceEnables generating and editing images from any MCP client by expanding short requests into detailed visual prompts, then saving the results to disk and returning them as resources. Supports Gemini, OpenAI GPT Image, and BytePlus Seedream with quality presets, aspect ratios, up to 4K output, and options for character consistency and Google Search grounding.2,138 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables assistants in any MCP client to generate new images or edit existing ones, automatically enriching short requests with composition, lighting, and camera details before sending them to Gemini, OpenAI, or BytePlus Seedream. Supports quality presets, aspect ratios, image sizes, character consistency, blended inputs, and Google Search grounding for current information.2,138 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax APIs.549 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible clients to generate images and videos, synthesize speech, clone voices, and design custom voices via MiniMax's APIs.549 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables users to generate images and videos, synthesize speech, clone voices, and design custom voices through MiniMax APIs from MCP-compatible clients.549 npmMIT
TDQS
Scored across 1 tool
With only one tool, there is no risk of confusion or overlap between tools. The single tool's purpose is clearly defined.
The tool name 'minimax_image_generate' follows a clear verb_noun pattern. Since there is only one tool, consistency is trivially maintained.
The server provides only one tool for image generation, which is insufficient for a comprehensive service. Typical image generation servers include additional tools for configuration, model management, or image handling, making this feel extremely thin.
The single tool attempts to cover image generation and image-to-image, but lacks supporting operations such as model listing, parameter validation, or result management. The surface is incomplete for a robust image generation workflow.