image-gen-mcp
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- AlicenseAqualityBmaintenanceGenerates and edits images using OpenAI GPT Image or Google Gemini models, saving every result to disk and returning local file paths so AI assistants can continue working with the images. It enables prompt-based image creation, editing, inpainting, multi-image composition, and model listing through MCP tools.121 npm1Apache 2.0
- AlicenseNot gradedqualityCmaintenanceExposes multiple image generation backends as independent MCP tools for generating images with configurable models and parameters.MIT
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants and MCP clients to generate and edit images, automatically enriching prompts with visual details and quality presets across Gemini, OpenAI, and BytePlus Seedream, with results saved to disk.1,503 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables any MCP-capable agent to generate images in the cloud without a GPU, local models, or downloads, using the user's own API key for providers such as DashScope's Wan/Qwen image models and Volcano Ark's Seedream. It can list which channels are configured and return generated image links or save the files to a local directory, all locally over stdio.MIT
- AlicenseNot gradedqualityAmaintenanceProvides multimodal vision MCP tools for image analysis, OCR, object detection, text-to-image generation, and image similarity, integrating OpenAI, Qwen, and Gemini.58 npm1MIT
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists available image models, the other generates images. No overlap or confusion possible.
Both tools use a consistent verb_noun pattern in snake_case: 'list_image_models' and 'generate_image', making them predictable and easy to understand.
With only 2 tools, the server feels under-scoped for its stated support of multiple providers and model selection. While minimal, it may be acceptable for a focused image generation task, but lacks coverage for related operations.
The server covers basic listing and generation, but lacks tools for retrieving generated images (URLs expire), managing providers, or handling model customization beyond the generate call. Minor gaps exist that could limit agent autonomy.