Face Generator MCP Server
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- FlicenseBqualityDmaintenanceEnables users to generate images from text prompts using Replicate's model, with configurable parameters and full MCP protocol compliance.1123-
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- AlicenseNot gradedqualityDmaintenanceGenerates images from text prompts using the Kandinsky neural network API, with support for styles, negative prompts, and configurable image dimensions.MIT
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- AlicenseDqualityDmaintenanceA Model Context Protocol server that provides image generation capabilities using Google's Gemini 2 API, allowing users to generate multiple images with customizable parameters like prompts, aspect ratios, and person generation settings.1107 npm5MIT
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.