DifyをChatGPT、Claude、Geminiに接続

• 01 / 03Difyワークフローのデバッグ方法
• 02 / 03Difyの設定管理方法
• 03 / 03会話をモニタリングする方法

最速日

687ms

最遅日

961ms

14日間の傾向

安定+3%

Dify 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_japnlGmGhAFBWRHzAOFr37lXXjOa1PP2IgY6J8VD/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 — Dify capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "dify-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_japnlGmGhAFBWRHzAOFr37lXXjOa1PP2IgY6J8VD/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？ Dify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

  AIデベロッパー

  開発環境を離れることなく、DifyエージェントやRAGパイプラインのテストとデバッグを行えます。

• 02

  オートメーションエンジニア

  自然言語を使用して、Difyアプリとの会話管理やファイルのアップロードを自動化できます。

• 03

  プロダクトチーム

  エージェントのパフォーマンスをリアルタイムで監視し、アプリケーションのパラメータを検証できます。

• 01

  How do I connect my Dify account?

  You need your Dify API URL and an Application-specific API Key. You can find these in your Dify App under the API Access section.

• 02

  Which AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  Can I upload files to my Dify agents?

  Yes, you can use the upload capability to send local files directly to your Dify attachments.

• 04

  Does this work with any Dify application?

  It works with any Dify application that you have the API credentials for.

• 05

  Can I see previous chat history?

  Yes, you can list conversations and then list the specific messages within those conversations to see the history.

• 06

  Can my agent interact with a specific Dify application via chat?

  Yes. When you provide the Application API Key, the agent uses the 'chat' mutation to send your query directly to that Dify agent. It returns the AI response within your current chat context, allowing for seamless integration.

• 07

  How do I retrieve the conversation history from my Dify project?

  Use the 'list_conversations' capability. Your agent will pull the explicitly attached array vectors representing your conversation listing. You can then use 'list_messages' with a specific ID to see the detailed interactions.

• 08

  Can I upload files to my Dify agents through this server?

  Absolutely. The 'upload_file' capability allows you to transmit local binaries securely. The agent maps these files internally against standard Dify attachments, making them available for your Dify agents to process.

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