Face Generator MCP Server
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- AlicenseBqualityDmaintenanceEnables users to generate images from text prompts using Replicate's model, with configurable parameters and full MCP protocol compliance.1120ISC
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- AlicenseNot gradedqualityBmaintenanceEnables 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.MIT
- AlicenseNot gradedqualityDmaintenanceGenerates images from text prompts using the Kandinsky neural network API, with support for styles, negative prompts, and configurable image dimensions.MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generate_face' has a clearly distinct and singular purpose.
The naming pattern cannot be inconsistent when there is only one tool. The tool name 'generate_face' follows a clear verb_noun convention, which would be consistent if more tools existed.
A single tool is generally too few for most MCP server purposes, as it provides minimal functionality and limits agent capabilities. For a face generation domain, one tool feels thin and under-scoped.
The tool set is severely incomplete for a face generation domain. While it covers generation, there are obvious gaps such as no tools for listing, retrieving, modifying, or deleting generated faces, creating dead ends for agents.