Verbinden Sie Orkes Conductor mit ChatGPT, Claude und Gemini

• 01 / 03Workflows prüfen
• 02 / 03Workflows debuggen
• 03 / 03Workflows überwachen

Schnellster Tag

715ms

Langsamster Tag

1206ms

14-Tage-Trend

Stabil0%

Orkes Conductor Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_RrYCpOWyMYAgc2byLtphBnT5DV3QN0zxvc3KjL5z/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Orkes Conductor in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Platform Engineers

  Überwachen laufende Workflows und identifizieren hängende oder fehlgeschlagene Ausführungen ohne das Conductor-UI nutzen zu müssen.

• 02

  DevOps Teams

  Suchen in der Ausführungshistorie nach Fehlermustern und prüfen Workflow-Definitionen während der Incident Response.

• 03

  Architekten

  Analysieren Workflow-Graphen und Task-Definitionen, um Abhängigkeiten in der Orchestrierung zu verstehen.

• 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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Vorschläge

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