opencode-image-mcp
Related Servers
Alternatives to opencode-image-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables image generation through any OpenAI-compatible images/generations endpoint, saving results to disk and returning them inline for the model.MIT
- AlicenseAqualityCmaintenanceEnables generating and editing images with GPT Image models through the OpenAI Images API or compatible endpoints, saving originals locally and returning downscaled previews plus file paths. Supports long-running jobs, workspace-based storage, and reference- or mask-based edits.3993 npmMIT
- AlicenseAqualityCmaintenanceEnables generating and editing images through OpenAI image models, with configurable output as saved files or returned URLs.2MIT
- AlicenseNot gradedqualityCmaintenanceEnables text-to-image generation and image-to-image editing through the built-in relay or any OpenAI-compatible endpoint, with fast and high-precision models, square and custom-dimension sizes up to true 4K, and quality controls. Generated or edited images are written to local directories and returned as absolute file paths.19 npmMIT
- AlicenseAqualityDmaintenanceEnables 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.337 npmMIT
- AlicenseBqualityDmaintenanceEnables image generation via OpenRouter API, supporting models like Gemini 2.5 Flash Image Preview with options to save files locally.21Do What The F*ck You Want To Public
TDQS
Scored across 6 tools
Each tool serves a distinct function: discovery (list_models, list_providers), provider lifecycle management (add_provider, remove_provider), configuration (set_default_model), and the core action (generate_image). There is no overlap or ambiguity in purpose.
All tool names follow a consistent snake_case verb_noun pattern: list_models, list_providers, add_provider, remove_provider, set_default_model, generate_image. The naming style is uniform and predictable.
Six tools is well-scoped for an image generation MCP server. Each tool earns its place and covers provider management, model discovery, default selection, and generation without redundancy.
The tool surface covers the full lifecycle: configure providers (add/remove/list), discover models (list_models), set defaults, and generate/edit images. No obvious gaps exist for the server's stated purpose.