DagsterをChatGPT、Claude、Geminiに接続

• 01 / 03パイプライン自動化の監査方法
• 02 / 03鮮度の監視方法
• 03 / 03実行エラーの調査方法

最速日

653ms

最遅日

1134ms

14日間の傾向

遅延傾向+40%

Dagster 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_9Cla5bbOzNXXdswxQ5yhHdcbDLhh8oRbE80hiC24/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 — Dagster capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "dagster-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9Cla5bbOzNXXdswxQ5yhHdcbDLhh8oRbE80hiC24/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？ Dagster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

  データエンジニア

  チャットやIDEを離れることなく、パイプラインの健全性を監視し、失敗した実行を特定できます。

• 02

  アナリティクスエンジニア

  ソフトウェア定義アセットを追跡し、データの鮮度をリアルタイムで確認できます。

• 03

  データプラットフォームチーム

  組織内のデプロイメントにおけるジョブスケジュールやセンサーの設定を監査できます。

• 01

  Does this work with Dagster Open Source?

  Yes, this MCP works with both Dagster Plus and self-hosted open-source instances.

• 02

  What information do I need to provide?

  You will need your Dagster URL and a User API Token, which you can find in your Deployment Settings under Tokens.

• 03

  Can I see error logs through my AI client?

  Yes, once you identify a specific run ID, your agent can retrieve the detailed execution logs for you.

• 04

  Which AI clients can I use with this MCP?

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

• 05

  How does this help with asset management?

  The MCP allows your agent to enumerate software-defined assets so you can verify dependencies and storage mappings through chat.

• 06

  Can my agent list all software-defined assets in Dagster?

  Yes. Use the 'list_assets' capability. Your agent will retrieve all software-defined assets, allowing you to identify data dependencies and verify physical storage mappings within your pipelines.

• 07

  How do I check the status of a specific job run?

  Provide the 'run_id' to the 'get_run' capability. Your agent will fetch detailed information for that specific execution, including status (Success, Failure, In Progress) and detailed execution logs.

• 08

  Can I see active sensors and schedules via the agent?

  Absolutely. Use the 'list_schedules' and 'list_sensors' capabilities. Your agent will pull the active automation triggers, allowing you to audit which jobs are scheduled and which sensors are listening for external events.

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