RoboflowをChatGPT、Claude、Geminiに接続

• 01 / 03モデルの学習方法
• 02 / 03データセットの管理方法
• 03 / 03推論を実行する

最速日

915ms

最遅日

1512ms

14日間の傾向

改善傾向-9%

Roboflow 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_3PcAB3lxgco6m9RlryrdB51L1KU7rDlnqGHOwOaP/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 — Roboflow capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "roboflow-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3PcAB3lxgco6m9RlryrdB51L1KU7rDlnqGHOwOaP/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？ Roboflow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

  MLエンジニア

  ターミナルやIDEを離れることなく、学習の進捗やデータセットの状態を監視できます。

• 02

  データサイエンティスト

  データセットのバージョンを素早く照会し、カスタム学習スクリプト用にデータをエクスポートできます。

• 03

  プロダクトチーム

  対話形式でモデルの性能を監査し、推論結果を簡単に可視化できます。

• 01

  How do I connect my Roboflow account?

  You just need to provide your Roboflow Private API Key after subscribing to the MCP on Vinkius.

• 02

  Which AI clients can I use with this MCP?

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

• 03

  Can I run model training through my agent?

  Yes, you can start, stop, or cancel training runs for specific project versions.

• 04

  Does this support Enterprise features?

  Yes, capabilities like creating folders and adding projects to folders are available for Enterprise users.

• 05

  Can I download my datasets?

  Yes, the agent can generate download links for zipped datasets in formats like YOLO or COCO.

• 06

  How can I verify if my Roboflow API key is correctly configured?

  You can use the get_root capability. It will attempt to authenticate with your key and return the default workspace details if successful.

• 07

  Can I get the training performance metrics for a specific model version?

  Yes! Use the get_training_results capability by providing the workspace, project, and version ID. It returns mAP, precision, recall, and other training metrics.

• 08

  Is it possible to export my dataset to a specific format like YOLOv5?

  Absolutely. Use the download_dataset capability and specify the format parameter (e.g., 'yolov5pytorch') to receive a download link for your zipped dataset.

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