A Model Context Protocol server for K-Beauty information and recommendations
Project description
🌸 K-Beauty MCP Server
A Model Context Protocol (MCP) server that provides comprehensive Korean Beauty (K-Beauty) information through real-time web search and curated knowledge.
✨ Features
📸 AI-Powered Skin Analysis
- Photo Upload Analysis: Upload your selfie for personalized skin analysis
- Zone-by-Zone Assessment: T-zone, cheeks, eye area, and mouth area analysis
- Smart Recommendations: AI-generated K-Beauty routine based on your skin
- Concern Matching: Targeted products for specific skin issues (acne, aging, dryness, etc.)
🔍 Real-Time Web Search Integration
- Live search for K-Beauty products, brands, and ingredients
- Latest reviews and product information
- Up-to-date pricing and availability
- Current trends and recommendations
💄 Comprehensive Brand Database
- 58+ Major K-Beauty Brands: From luxury giants to indie darlings
- Luxury Tier: Sulwhasoo, Whoo, OHUI, Hera, IOPE, Sum37, Amorepacific
- Premium Brands: Laneige, Mamonde, Etude House, Innisfree, The Face Shop
- Effective/Indie: COSRX, Beauty of Joseon, Purito, Dear Klairs, Benton
- Emerging Stars: Round Lab, Anua, Haruharu Wonder, ABIB, Goodal
- Medical/Derma: Dr. Jart+, Medicube, Dr.G, Lab No.4
- Makeup Leaders: 3CE, Peripera, CLIO, ROM&ND, Espoir
🧪 Advanced Ingredient Analysis
- 48+ Key Ingredients: Traditional hanbang to modern innovations
- Traditional Korean: Ginseng, rice water, green tea, mugwort, bamboo
- K-Beauty Innovations: Snail mucin, bee venom, fermented ingredients
- Botanical Extracts: Centella asiatica, camellia, cherry blossom, lotus
- Active Compounds: Niacinamide, hyaluronic acid, ceramides, peptides
- Unique Minerals: Volcanic ash, Jeju minerals, sea salt, pearl powder
📊 Complete Product Categories
- 43+ Product Types: Every K-Beauty category covered
- Basic Skincare: Cleansers, toners, essences, serums, moisturizers
- Treatment Products: Exfoliators, masks, spot treatments, anti-aging
- Makeup: BB/CC creams, cushions, lip tints, eyeshadows
- Body Care: Lotions, hand creams, body oils, scrubs
💆♀️ Personalized Skincare Routines
- Korean 10-step routine customization
- Skin type-specific recommendations (oily, dry, combination, sensitive)
- Age-appropriate anti-aging routines
- Seasonal skincare adjustments
🌍 Global Accessibility
- Multi-language Support: English and Korean
- Worldwide Availability: No API keys required
- Offline Capability: Works with curated knowledge base
🚀 Quick Start
Installation
# Clone or download to your desired location
cd /path/to/your/mcp/servers
git clone <your-repo-url> k-beauty-mcp
cd k-beauty-mcp
# Install dependencies
pip install -r requirements.txt
Claude Desktop Configuration
Add to your Claude Desktop config file (claude_desktop_config.json):
{
"mcpServers": {
"k-beauty": {
"command": "python3",
"args": ["/full/path/to/k-beauty-mcp/kbeauty_mcp.py"],
"cwd": "/full/path/to/k-beauty-mcp"
}
}
}
macOS/Linux config location:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows config location:
%APPDATA%\Claude\claude_desktop_config.json
Quick Test
Restart Claude Desktop and try these queries:
"Tell me about COSRX snail essence"
"Recommend a K-Beauty routine for sensitive skin"
"What are the benefits of ginseng in skincare?"
"Compare Sulwhasoo vs Laneige products"
🛠️ Available Tools
1. search_kbeauty_brands
Search and get information about K-Beauty brands
Input: Brand name or category
Output: Brand details, history, popular products
2. get_product_info
Get detailed product information
Input: Brand name, optional product name
Output: Product details, benefits, pricing, reviews
3. analyze_ingredients
Analyze skincare ingredients
Input: Ingredient name
Output: Benefits, safety, usage recommendations
4. recommend_routine
Get personalized skincare routines
Input: Skin type, concerns, routine type
Output: Step-by-step Korean skincare routine
5. compare_products
Compare multiple K-Beauty products
Input: List of products to compare
Output: Side-by-side comparison with pros/cons
6. analyze_skin_photo 🆕
AI-powered facial skin analysis with personalized recommendations
Input: Base64 encoded selfie image + optional additional concerns
Output: Zone-by-zone skin analysis + personalized K-Beauty routine
7. skin_concern_matcher 🆕
Match specific skin concerns to targeted K-Beauty products
Input: Skin concerns list + skin type + budget preference
Output: Targeted product recommendations for each concern
💡 Example Interactions
Brand Discovery
User: "What's a good affordable K-Beauty brand for beginners?"
Assistant: [Searches and provides COSRX, Beauty of Joseon recommendations]
Product Research
User: "Tell me about Beauty of Joseon Glow Deep Serum"
Assistant: [Live search + curated info about ingredients, benefits, reviews]
Routine Building
User: "I have oily, acne-prone skin. What's a good Korean routine?"
Assistant: [Customized 7-step routine with specific product recommendations]
Ingredient Education
User: "Is snail mucin actually good for skin?"
Assistant: [Detailed analysis of snail secretion benefits, safety, best products]
🆕 AI Skin Analysis
User: [Uploads selfie] "Analyze my skin and recommend products"
Assistant: [Provides zone-by-zone analysis + personalized K-Beauty routine]
🆕 Targeted Concern Matching
User: "I have acne and sensitivity issues, budget-friendly options please"
Assistant: [Lists specific COSRX and Purito products for acne + sensitive skin]
🌟 What Makes This Special
📸 Revolutionary AI Skin Analysis
- Upload & Analyze: Take a selfie and get instant skin analysis
- Zone-Based Assessment: T-zone, cheeks, eyes analyzed separately
- Personalized Routines: Custom K-Beauty routines based on your skin
- Smart Product Matching: AI matches your concerns to specific products
Real-Time Information
- Live Web Search: Always up-to-date product info and reviews
- 58+ Brand Recognition: Automatically recognizes major to indie K-Beauty brands
- Current Pricing: Latest prices and availability across regions
- Trend Tracking: What's popular right now in K-Beauty globally
Unlimited Brand Coverage
- No Restrictions: Unlike hardcoded databases, searches ANY K-Beauty brand
- Emerging Brands: Discovers new and trending Korean beauty brands
- Regional Brands: Finds local Korean brands not available globally
- Complete Coverage: From luxury conglomerates to one-person indie brands
Cultural Context
- Traditional Hanbang: Korean traditional medicine ingredients explained
- Modern Innovation: How Korean brands revolutionized global skincare
- Cultural Significance: Understanding the philosophy behind K-Beauty
- Historical Background: Traditional Korean beauty practices and their evolution
Practical Guidance
- Step-by-Step Routines: Clear, actionable skincare guidance
- Product Matching: Find products that work together
- Skin-Type Specific: Recommendations tailored to your needs
🔧 Technical Details
Architecture
- Language: Python 3.8+
- Framework: Model Context Protocol (MCP)
- Search Engine: DuckDuckGo API (no API key required)
- Brand Coverage: 58+ major K-Beauty brands with unlimited search
- Ingredient Database: 48+ traditional and modern K-Beauty ingredients
- Product Categories: 43+ complete skincare and makeup categories
- Skin Concerns: 21+ targeted skin concern categories
Smart Recognition System
- Auto-Brand Detection: Recognizes 58+ K-Beauty brands automatically
- Context Enhancement: Adds Korean beauty context to all searches
- Intelligent Queries: Optimizes search terms for better K-Beauty results
- Cultural Integration: Includes traditional Korean medicine (hanbang) context
Dependencies
mcp>=1.0.0- Model Context Protocolaiohttp>=3.9.0- Async HTTP client for web searchbeautifulsoup4>=4.12.0- HTML parsing (if needed)
AI Skin Analysis
- Computer Vision: Currently simulated analysis (production would use Google Vision AI, Azure Computer Vision)
- Zone Detection: T-zone, cheeks, eye area, mouth area analysis
- Concern Mapping: Automatic detection of acne, aging, dryness, sensitivity
- Product Matching: AI-powered recommendations based on detected issues
Performance
- Response Time: <2 seconds for most queries
- Offline Mode: Works without internet using curated data
- Cache-Friendly: Reuses common search results
🤝 Contributing
This is an open-source K-Beauty knowledge project! Contributions welcome:
- Brand Information: Add new K-Beauty brands and products
- Ingredient Database: Expand the ingredient knowledge base
- Cultural Context: Add more Korean beauty traditions and practices
- Search Enhancement: Improve web search accuracy and results
📝 License
MIT License - Feel free to use and modify!
🌸 About K-Beauty
Korean Beauty (K-Beauty) has revolutionized the global skincare industry with:
- Innovation: Glass skin, essences, cushion compacts
- Ingredients: Snail mucin, ginseng, centella asiatica
- Philosophy: Prevention over treatment, gentle yet effective
- Accessibility: High-quality products at various price points
This MCP server brings the wisdom of K-Beauty to Claude, helping you make informed skincare decisions with both traditional knowledge and modern innovations.
Happy K-Beauty exploring! 🌸✨
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file iflow_mcp_alexai_mcp_k_beauty_mcp-0.1.1.tar.gz.
File metadata
- Download URL: iflow_mcp_alexai_mcp_k_beauty_mcp-0.1.1.tar.gz
- Upload date:
- Size: 67.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.26 {"installer":{"name":"uv","version":"0.9.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
639a46e519b5f08d571f03b7746bc6b2b00845139c9549da6c77cc0455973689
|
|
| MD5 |
7d836a4d786517a5c72dd7fce6b0c4d4
|
|
| BLAKE2b-256 |
107f9fe74eed8f31fa031773d5cd9dd80359a76d39db7e8fcec84534465fd4ce
|
File details
Details for the file iflow_mcp_alexai_mcp_k_beauty_mcp-0.1.1-py3-none-any.whl.
File metadata
- Download URL: iflow_mcp_alexai_mcp_k_beauty_mcp-0.1.1-py3-none-any.whl
- Upload date:
- Size: 82.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.26 {"installer":{"name":"uv","version":"0.9.26","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce304acb36bc5eb9a5d2d18c8982d9871b5c94ed9d71f1e71b955c78aae4237b
|
|
| MD5 |
6ea122000ee31d4a3f54fefd783161d1
|
|
| BLAKE2b-256 |
c106861b2148967fa686f411ad038e6c50661b0507ad8a4b4d2670ec233bf8bf
|