MCP Fooocus API
Related Servers
Alternatives to MCP Fooocus API
No user-submitted related servers found.
Related Servers
- FlicenseBqualityDmaintenanceEnables AI-powered text-to-image generation using Volcengine's API with support for multiple image sizes, customizable parameters like guidance scale and seed, and flexible output formats.1-
- FlicenseAqualityDmaintenanceEnables text-to-image generation, image editing, and multi-image composition using Google's Gemini 2.5 Flash Image API. Supports flexible aspect ratios and character consistency across generations.1-
- AlicenseAqualityCmaintenanceEnables AI agents to interact with a Stable Diffusion REST API for image generation, inpainting, model management, and merging.18GPL 3.0
- FlicenseBqualityDmaintenanceEnables text-to-image generation using the fal.ai GPT image-1 API. It provides a tool to generate images with customizable parameters like size, quality, and background settings via natural language prompts.1-
- AlicenseNot gradedqualityCmaintenanceEnables LLM applications to generate, edit, describe, upscale, remix, reframe, and replace backgrounds in images using the Ideogram AI API.20MIT
- AlicenseNot gradedqualityDmaintenanceEnables image and video generation from text, image editing, and text-to-video workflows using AI models via OpenRouter and fal.ai.MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: generate_image creates images, get_server_info provides configuration details, and list_available_styles enumerates style options. The three functions are orthogonal and cannot be confused for one another.
All tools follow a consistent verb_noun pattern (generate_image, get_server_info, list_available_styles) with clear, descriptive names that use snake_case uniformly. There are no deviations in naming conventions.
With only 3 tools, the set feels thin for an image generation API. While the core generate_image tool is present, additional operations like image editing, batch generation, or model management might be expected but are missing, making the scope somewhat limited.
The toolset covers the essential workflow: checking server info, listing styles, and generating images. However, there are minor gaps such as no ability to modify or delete generated images, adjust advanced generation parameters beyond the basics, or manage generation history, which could limit agent flexibility.