my-image-mcp
Related Servers
Alternatives to my-image-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to generate and edit images through any OpenAI-compatible image API, saving results as local files and returning absolute paths for immediate use.10 npmMIT
- 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.338 npmMIT
- AlicenseBqualityBmaintenanceEnables generating images from text or transforming existing images using GPT-Image-compatible APIs, with support for OpenAI and Agnes AI backends.2MIT
- AlicenseAqualityAmaintenanceEnables generating, editing, remixing, upscaling, and describing images through the Ideogram V3 API from any MCP client.7645 npmMIT
- 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 gradedqualityCmaintenanceEnables AI image processing tools such as vectorization, background removal, upscaling, and logo generation from any MCP-compatible client like Claude Code or Cursor.14 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: checking config status, setting up config, generating images, and editing images. There is no overlap between the configuration tools and the image operation tools, and the descriptions make the boundaries obvious.
Most tools follow a verb_noun pattern (setup_image_api, generate_image, edit_image), but image_config_status deviates by using a noun_noun format. The inconsistency is minor and does not hinder readability.
With only 4 tools, the server is well-scoped for its purpose. Each tool is necessary and there is no bloat or redundancy, making the set easy to navigate.
The server covers the full lifecycle of image generation and editing, including configuration setup and status checks. There are no obvious gaps for its stated domain, as generation and editing are the core operations.