DALL-E MCP Server
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- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to generate and edit images through OpenAI's DALL-E models via MCP tools. Supports text-to-image generation and image-to-image editing with configurable parameters for size, quality, and style.-
- AlicenseNot gradedqualityFmaintenanceEnables image generation using OpenAI's DALL-E and GPT-Image models directly through the Model Context Protocol. It allows users to create and save images with fine-grained control over parameters like size, quality, and background transparency.74 npm1MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to generate real images via multiple models (OpenAI, Gemini, Recraft, Seedream, Grok, Arrow) and returns usable file paths instead of base64 data.157 npmMIT
- 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
- FlicenseAqualityCmaintenanceEnables generating and editing images through OpenAI image models, with configurable output as saved files or returned URLs.2-
- 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
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_image' has a clear, distinct purpose that cannot be confused with any other tool in the set.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'generate_image' follows a clear verb_noun pattern, and there are no other tools to compare it against for inconsistency.
A single tool is too few for most server purposes, as it limits functionality and can feel thin. While DALL-E's core function is image generation, typical MCP servers benefit from multiple tools (e.g., 3-15) to handle related operations like listing images, editing prompts, or managing settings, making this count borderline insufficient.
The tool set covers the basic image generation function, but there are notable gaps for a DALL-E server. Missing operations might include listing generated images, editing or deleting images, or handling variations, which could lead to agent workarounds or incomplete workflows in more complex tasks.