Face++ / MegviiをChatGPT、Claude、Geminiに接続

• 01 / 03行動分析の方法
• 02 / 03本人確認の自動化について
• 03 / 03顔認証データベースの管理方法

最速日

740ms

最遅日

1144ms

14日間の傾向

遅延傾向+22%

Face++ / Megvii Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_9XeNBogqnvbfe37ielQPllFDO6AZEm0YUpuNS984/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Face++ / Megvii capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "face-megvii-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9XeNBogqnvbfe37ielQPllFDO6AZEm0YUpuNS984/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Face++ / MegviiをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  セキュリティ・コンプライアンス担当者

  自然言語による指示で、本人確認やKYCプロセスを自動化できます。

• 02

  UXリサーチャー

  製品テスト中のユーザーの感情やジェスチャーを、AIワークスペースから直接分析できます。

• 03

  開発者

  膨大なコンピュータビジョンAPIライブラリを、日々のAI駆動ワークフローに統合できます。

• 01

  How do I use Face++ with my AI agent?

  You connect this MCP to your client, such as Claude or Cursor, and then you can simply ask your agent to perform vision tasks like detecting faces or comparing images.

• 02

  What kind of vision data can this MCP process?

  The MCP handles facial recognition, identity verification, human body detection, skeleton tracking, and hand gesture recognition.

• 03

  Do I need to use the Face++ web console?

  No. This MCP allows your agent to perform all the necessary operations, so you don't have to navigate the web interface manually.

• 04

  Can I manage facial databases through my agent?

  Yes. You can use capabilities to create, add to, or remove faces from FaceSets directly through your AI client.

• 05

  Which AI clients are compatible?

  This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 06

  How do I find my Face++ API Key and Secret?

  Log in to the Face++ Console, go to [Dashboard] -> [API Key], and you will find your unique Key and Secret there. Ensure you have the necessary permissions enabled.

• 07

  Can I analyze images from a local file?

  This server currently supports analysis via image_url. To use local files, you should upload them to a public or private storage and provide the resulting URL to the capabilities.

• 08

  What attributes can be returned during face detection?

  Common attributes include gender, age, emotion, head pose, smile, face quality, and skin status. You can specify these in the return_attributes parameter of the detect_face capability.

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