Skincare
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Provides AI-based skin analysis and personalized recommendations by processing a selfie image URL.
소개
Skincare is a Model Context Protocol (MCP) server designed to deliver AI-driven skin analysis based on a user's selfie image. It processes the image through two stages to provide a comprehensive skin status, along with tailored management recommendations and therapy guidance. This server seamlessly integrates with MCP-compatible clients like Claude Desktop App, Continue, and Cline, empowering AI applications with real-time skincare diagnostics and personalized advice.
주요 기능
- Recommend tailored management methods such as hydration routines, pore tightening toners, and cleansing protocols.
- Analyze basic skin status, including care-needed regions, estimated skin age, and an overall skin point score.
- Offer therapy guidance, including advantages, cautions, detailed procedure, expected effects, and a specific therapy recommendation.
- Determine detailed skin type attributes (e.g., Dry, Oily, Pigmented, Sensitive) and generate a corresponding type code.
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- Provide detailed skin context and quantitative point scores for attributes like Pigmented, Pores, Redness, Sebum, Trouble, and Wrinkle.
사용 사례
- Integrating real-time skincare diagnostics and personalized advice into MCP-compatible AI agents.
- Automating the analysis of skin status and generating management recommendations from a user-provided selfie.
- Empowering AI clients to recommend specific therapies based on an individual's skin profile.
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