Orkes ConductorをChatGPT、Claude、Geminiに接続

• 01 / 03ワークフローの監査方法
• 02 / 03ワークフローのデバッグ方法
• 03 / 03ワークフローの監視方法

最速日

715ms

最遅日

1206ms

14日間の傾向

安定0%

Orkes Conductor 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_RrYCpOWyMYAgc2byLtphBnT5DV3QN0zxvc3KjL5z/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 — Orkes Conductor capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "orkes-conductor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RrYCpOWyMYAgc2byLtphBnT5DV3QN0zxvc3KjL5z/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？ Orkes Conductor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

  プラットフォームエンジニア

  Conductor UIを開くことなく、実行中のワークフローを監視し、停止や失敗した実行を迅速に特定できます。

• 02

  DevOpsチーム

  障害対応時に実行履歴を検索して失敗パターンを調査したり、ワークフロー定義の監査を行ったりできます。

• 03

  システムアーキテクト

  ワークフローのグラフやタスク定義を詳細に確認し、オーケストレーションの依存関係を把握できます。

• 01

  How do I connect my Orkes cluster to my AI client?

  You subscribe to the MCP on Vinkius and enter your Orkes credentials, including your Access Key ID, Secret, and Base URL. Once connected, your AI client can immediately start using the capabilities.

• 02

  Which AI clients can use this MCP?

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

• 03

  Can I search for specific failed executions?

  Yes. You can use the search capability to perform Elasticsearch queries across all workflow executions, filtering by status, correlation ID, or type.

• 04

  Does this MCP host the connection?

  Yes, Vinkius hosts the MCP and manages the connection and credentials so you don't have to run it locally.

• 05

  Can I see the actual data passed between tasks?

  Yes. The get_execution capability provides deep state details, including the specific input and output mappings for each task in a workflow.

• 06

  Can I search for failed workflows across my entire history?

  Yes. The search capability supports Elasticsearch query syntax. search by status (FAILED, TIMED_OUT), workflow type, date ranges, or correlation IDs. Ask your agent 'show me all failed workflows from the last 24 hours' and it returns matching executions with their IDs, failure reasons, and timestamps.

• 07

  What's the difference between workflow definitions and running instances?

  Definitions are the blueprints. the graph schema with tasks, operators, and branching logic. Running instances are actual executions of those definitions, each with their own input data, current state, and task-by-task progress. Think of definitions as classes and instances as objects.

• 08

  Does this integration support triggering new workflow executions?

  Currently, this integration focuses on observability. listing definitions, monitoring running instances, and searching execution history. It does not trigger new workflow executions. For launching workflows, use the Orkes Conductor UI or direct API calls.

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