Image Gen Pro MCP
Related Servers
Alternatives to Image Gen Pro MCP
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Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to generate high-quality images using Google's Gemini and Imagen models with support for multiple aspect ratios, dynamic model selection, and direct file saving capabilities.MIT
- AlicenseAqualityBmaintenanceEnables image analysis, OCR, and text-to-image generation through OpenAI-compatible APIs. Supports local paths, URLs, or base64 images with configurable models and backup endpoints.340 npmMIT
- 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.17 npm1Apache 2.0
- AlicenseAqualityCmaintenanceGives AI assistants image generation and editing capabilities through OpenRouter, supporting multiple models, style presets, variations, and batch operations.567 npm2MIT
- AlicenseNot gradedqualityBmaintenanceEnables image generation through any OpenAI-compatible images/generations endpoint, saving results to disk and returning them inline for the model.MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP-capable agents to generate and edit images through Gemini or OpenAI, returning an absolute file path instead of image bytes to keep context windows clean.MIT
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of confusing it with other tools. The tool's description clearly delineates its multiple functions (generation, editing, style selection, SVG), but since it is the sole tool, disambiguation is trivially perfect.
The single tool is named 'generate_image', which follows a clear verb_noun pattern. With only one tool, there is no inconsistency or mixed conventions to evaluate, making the naming fully consistent.
The server has just one tool, which is on the lower end of the typical range. However, the tool is comprehensive, covering generation, editing, and multiple model options, so it justifies its presence. A slightly higher count might be expected, but the single tool is not trivial.
For an image generation server, the tool covers core operations: generating from text, editing with reference images, and producing SVG output. Minor gaps exist (e.g., no listing or deletion of generated images), but these are non-essential and do not block typical workflows.