MCP.so
ログイン

Tryonfy Mcp Server

@blasfin-finance

Tryonfy Mcp Server について

MCP server for TryOnfy - AI virtual try-on platform for clothes, hairstyles, and accessories

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

blasfin-finance

投稿者

blasfin

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "tryonfy": {
      "command": "npx",
      "args": [
        "-y",
        "tryonfy-mcp-server"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Tryonfy Mcp Server?

Tryonfy Mcp Server is a Model Context Protocol (MCP) server for TryOnfy, an AI-powered virtual try-on platform. It lets AI assistants interact with TryOnfy to preview clothing, hairstyles, and accessories instantly.

How to use Tryonfy Mcp Server?

Install the package globally with npm install -g tryonfy-mcp-server, then add it to your Claude Desktop configuration or run claude mcp add tryonfy -- npx -y tryonfy-mcp-server for Claude Code.

Key features of Tryonfy Mcp Server

  • Lists all available virtual try-on features with descriptions
  • Returns direct links for specific features like clothes or hairstyle changers
  • Suggests the best feature based on natural language queries
  • Provides current TryOnfy pricing information

Use cases of Tryonfy Mcp Server

  • Query which virtual try-on features are available
  • Get a direct link to a specific try-on tool (e.g., AI Clothes Changer)
  • Ask for a feature recommendation by describing what you want to try
  • Check TryOnfy’s pricing plans directly from a conversation

FAQ from Tryonfy Mcp Server

What does Tryonfy Mcp Server do?

It provides tools for AI assistants to interact with TryOnfy’s virtual try-on capabilities, such as listing features, getting links, suggesting features, and viewing pricing.

How do I install Tryonfy Mcp Server?

Install it globally via npm: npm install -g tryonfy-mcp-server.

How do I use Tryonfy Mcp Server with Claude Desktop?

Add the server to your Claude Desktop config (claude_desktop_config.json) with the command npx -y tryonfy-mcp-server.

What tools does Tryonfy Mcp Server provide?

It provides four tools: list_features, get_tryon_link, suggest_feature, and get_pricing.

How do I get a feature recommendation from Tryonfy Mcp Server?

Use the suggest_feature tool with a natural language query, for example “I want to try a new hairstyle” to get the AI Hairstyle Changer.

コメント

「その他」の他のコンテンツ