Zeabur Paas DeploymentをChatGPTとClaudeに接続

• 01 / 03メール送信の方法
• 02 / 03デプロイのデバッグ方法
• 03 / 03サービスのデプロイ方法

最速日

796ms

最遅日

1238ms

14日間の傾向

改善傾向-17%

Zeabur 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_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/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 — Zeabur capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "zeabur-paas-deployment-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_C259WqFoZVL0U3fl3UAYmeTpTKhOp70hGTqhzXJ5/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？ Zeabur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

  DevOpsエンジニア

  サービスのスケール、コマンド実行、環境管理の自動化に活用できます。

• 02

  フルスタック開発者

  コードエディタから直接、テンプレートのデプロイやビルドログの確認が行えます。

• 03

  バックエンドチーム

  トランザクションメールの送信やコンテナ内のファイル管理を自動ワークフローに組み込めます。

• 01

  How do I connect my Zeabur account?

  You subscribe to the MCP on Vinkius and enter your Zeabur API Token. Once connected, your AI client can immediately start managing your resources.

• 02

  Do I need a separate token for sending emails?

  Yes, if you want to use the email capabilities, you must provide a ZEABUR_EMAIL_TOKEN in the configuration.

• 03

  Can I run shell commands in my containers?

  Yes, the execute_command capability allows your agent to run commands directly within your service containers.

• 04

  Which AI clients can use this MCP?

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

• 05

  Can I deploy applications using ZIP files?

  Yes, you can use the create_upload_stage and prepare_deployment capabilities to handle the full lifecycle of ZIP deployments.

• 06

  Can I run shell commands inside my running services?

  Yes! Use the execute_command capability by providing the Service ID, Environment ID, and the command array (e.g., ["ls", "-la"]). Your agent will return the output from the container.

• 07

  How do I debug a failed deployment using this server?

  You can use the get_build_logs capability with the Project ID and Deployment ID. It will fetch the logs so your AI can analyze the errors and suggest fixes.

• 08

  Does this support deploying pre-packaged ZIP files?

  Yes. First, use create_upload_stage to get a presigned URL and upload ID. After uploading your file, use prepare_deployment to trigger the actual deployment process.

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