ai-ml

HeyBeauty Virtual Try-On

chatmcp

by chatmcp

Experience cutting-edge virtual try on technology with HeyBeauty. Instantly see how clothing looks on you before you buy

Provides a bridge between virtual try-on technology and clothing visualization, enabling users to see how selected items would look on them through image processing and metadata-rich clothing resources.

github stars

18

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Requires HeyBeauty API keyReal-time task status trackingClothing metadata and catalog access

best for

  • / E-commerce applications with virtual fitting rooms
  • / Fashion retailers wanting to reduce returns
  • / Personal styling and wardrobe planning apps
  • / AI assistants helping with clothing selection

capabilities

  • / Submit virtual try-on tasks with user and clothing images
  • / Query try-on task status and results
  • / Browse clothing catalog with metadata
  • / Generate structured prompts for clothing visualization
  • / Access clothing resources via URI scheme

what it does

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.

about

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.

how to install

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.

license

MIT

HeyBeauty Virtual Try-On is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

HeyBeauty MCP Server

HeyBeauty Virtual TryOn

This is a TypeScript-based MCP server that implements virtual tryon using HeyBeauty API. It demonstrates core MCP concepts by providing:

  • Resources representing clothes with URIs and metadata
  • Tools for submit tryon task and query task info.
  • Prompts for tryon cloth.

Quick Start

  1. apply for HeyBeauty API Key

  2. 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"
      }
    }
  }
}

Resources

  • List and access clothes via cloth:// URIs
  • Each cloth has a id, name, description, image url and metadata
  • Plain text mime type for simple content access

Tools

  • submit_tryon_task - Submit a tryon task
    • Takes user image url, cloth image url, cloth id and cloth description as required parameters
    • Stores tryon task in server state
  • query_tryon_task - Query a tryon task
    • Takes task id as required parameter
    • Returns tryon task info

Prompts

  • tryon_cloth - Tryon cloth
    • Takes user image url, cloth image url, cloth id and cloth description as required parameters
    • Returns structured prompt for LLM tryon

Resources

  • cloth:// - URI for clothes
    • Each cloth has a id, name, description, image url and metadata

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

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.

Debugging

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.

FAQ

What is the HeyBeauty Virtual Try-On MCP server?
HeyBeauty Virtual Try-On is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for HeyBeauty Virtual Try-On?
This profile displays 56 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

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

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

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

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ 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.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

List & Promote Your MCP Server

Share your MCP server with the developer community

GET_STARTED →
MCP server reviews

Ratings

4.556 reviews
  • Luis Khanna· Dec 20, 2024

    Useful MCP listing: HeyBeauty Virtual Try-On is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Chaitanya Patil· Dec 4, 2024

    According to our notes, HeyBeauty Virtual Try-On benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Piyush G· Nov 23, 2024

    We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Rahul Santra· Nov 19, 2024

    I recommend HeyBeauty Virtual Try-On for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Harper Farah· Nov 15, 2024

    We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Arjun Johnson· Nov 11, 2024

    We evaluated HeyBeauty Virtual Try-On against two servers with overlapping tools; this profile had the clearer scope statement.

  • Luis Bansal· Oct 26, 2024

    We wired HeyBeauty Virtual Try-On into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Shikha Mishra· Oct 14, 2024

    HeyBeauty Virtual Try-On is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Pratham Ware· Oct 10, 2024

    Strong directory entry: HeyBeauty Virtual Try-On surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Noah Flores· Oct 6, 2024

    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

1 / 6