Experience cutting-edge virtual try on technology with HeyBeauty. Instantly see how clothing looks on you before you buy
by chatmcp·Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Cipher
Cipher empowers agents with persistent memory using vector databases and embeddings for seamless context retention and t
DeepSeek
DeepSeek offers an AI-powered chatbot and writing assistant for chat completions, writing help, and code generation with
Google GenAI Toolbox
MCP Toolbox for Databases by Google. An open-source server that lets AI agents query Cloud SQL, Spanner, AlloyDB, and ot
Context7
Boost your AI code assistant with Context7: inject real-time API documentation from OpenAPI specification sources into y
PageIndex
PageIndex: a reasoning-based RAG system for fast, accurate analysis of long PDFs — extract insights, cite sources, and n
Useful MCP listing: HeyBeauty Virtual Try-On is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, HeyBeauty Virtual Try-On benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend HeyBeauty Virtual Try-On for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated HeyBeauty Virtual Try-On against two servers with overlapping tools; this profile had the clearer scope statement.
We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
HeyBeauty Virtual Try-On is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Strong directory entry: HeyBeauty Virtual Try-On surfaces stars and publisher context so we could sanity-check maintenance before adopting.
HeyBeauty Virtual Try-On is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
showing 1-10 of 56
Share your MCP server with the developer community
Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"heybeauty-mcp": {
"command": "npx",
"args": [
"-y",
"heybeauty-mcp"
],
"env": {
"HEYBEAUTY_API_KEY": "your_heybeauty_api_key"
}
}
}
}Enables virtual try-on of clothing items by processing user photos and garment images through the HeyBeauty API. Users can submit try-on tasks and retrieve results to see how clothes would look on them.
HeyBeauty Virtual Try-On is a community-built MCP server published by chatmcp that provides AI assistants with tools and capabilities via the Model Context Protocol. Experience cutting-edge virtual try on technology with HeyBeauty. Instantly see how clothing looks on you before you buy It is categorized under ai ml.
You can install HeyBeauty Virtual Try-On in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
HeyBeauty Virtual TryOn
This is a TypeScript-based MCP server that implements virtual tryon using HeyBeauty API. It demonstrates core MCP concepts by providing:
apply for HeyBeauty API Key
add the server config to MCP Client config file
{
"mcpServers": {
"heybeauty-mcp": {
"command": "npx",
"args": ["-y", "heybeauty-mcp"],
"env": {
"HEYBEAUTY_API_KEY": "your_heybeauty_api_key"
}
}
}
}
cloth:// URIssubmit_tryon_task - Submit a tryon task
query_tryon_task - Query a tryon task
tryon_cloth - Tryon cloth
cloth:// - URI for clothes
Install dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"heybeauty-mcp": {
"command": "node",
"args": ["/path/to/heybeauty-mcp/build/index.js"]
},
"env": {
"HEYBEAUTY_API_KEY": "your_heybeauty_api_key"
}
}
}
Follow this document to get HeyBeauty API Key.
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
npm run inspector
The Inspector will provide a URL to access debugging tools in your browser.
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Claude Skills
Claude Skills offers advanced GitHub search to find coding skills using semantic retrieval in bioinformatics and data an