Verbinden Sie AirOps mit ChatGPT, Claude und Gemini

• 01 / 03Datenextraktion automatisieren
• 02 / 03Aufgaben delegieren
• 03 / 03Wissensdatenbanken abfragen

Schnellster Tag

825ms

Langsamster Tag

1123ms

14-Tage-Trend

Stabil0%

AirOps Connector

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

Connector-Linkhttps://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/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 — AirOps capabilities are ready to use.

Konfiguration · claude_desktop_config.jsonKopieren

{
  "mcpServers": {
    "airops-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/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? AirOps in Claude und anderen KI-Tools einrichten

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

• 01

  AI Engineers

  Automatisieren Sie die Ausführung komplexer LLM-Ketten und überwachen Sie die Leistung mühelos. Der Connector unterstützt die gesamte technische Orchestrierung.

• 02

  Product Managers

  Auditieren Sie AI-App-Ausgaben und verwalten Sie spezialisierte Agentenkonfigurationen dynamisch. Sie behalten stets den Überblick über die AI-Funktionalität.

• 03

  Operations Leads

  Integrieren Sie AI-gestützte Datenextraktion und -Analyse nahtlos in Ihre bestehenden Geschäftsprozesse. Optimieren Sie Ihre operativen Abläufe.

• 04

  Data Specialists

  Verwalten und durchsuchen Sie interne Wissensdatenbanken mithilfe der AirOps Memory Stores. Nutzen Sie Ihren gesamten Unternehmens-Content.

• 01

  Does this MCP require me to write code?

  No. You don't write code. You interact with the system using natural conversation. Your agent handles the complexity of calling the necessary capabilities and executing the workflow steps for you.

• 02

  What is the difference between synchronous and asynchronous workflows?

  Synchronous workflows are for quick tasks where you need the result right away. Asynchronous workflows are for long-running jobs, like processing a large dataset, so you can start the job and continue chatting while it runs.

• 03

  Can I make my AI client remember things?

  Yes. You can manage a dedicated memory store within the MCP. You can add documents to enrich your AI's knowledge, and then query that memory store later to ground your answers in specific data.

• 04

  What kind of tasks can I run with the agent?

  You can run everything from simple data extraction using uploaded files to complex, multi-step processes that involve calling multiple specialized AI agents.

• 05

  Is this MCP only for AirOps users?

  No. You connect your preferred AI client—like Claude, Cursor, or Windsurf—to the Vinkius catalog, and this MCP is ready to use with any compatible client.

• 06

  How do I find my AirOps API Key?

  Log in to your AirOps account, navigate to Workspace Settings, and look for the API Keys section. You can generate and copy your secure bearer token there.

• 07

  What is the difference between synchronous and asynchronous execution?

  Synchronous execution (execute_workflow_sync) keeps the connection open until the AI finishes. Asynchronous (execute_workflow_async) returns an ID immediately, allowing you to check the status later, which is better for long-running tasks.

• 08

  Can I search through my uploaded documents?

  Yes! Use the search_memory_store capability. It performs a semantic search across your managed memory stores, returning the most relevant document chunks for your query.

• 

  Modelbit (ML Model Deployments) KI-Connector

  Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.

  Ansehen
• 

  VectorShift (AI Workflow & RAG Automation) KI-Connector

  Automate AI workflows and RAG via VectorShift — manage pipelines, query knowledge bases, and deploy chatbots d

  Ansehen
• 

  n8n (AI Workflow Automation) KI-Connector

  Manage workflow automation via n8n — audit active workflows, track execution logs, and monitor credentials.

  Ansehen
• 

  OpenAI KI-Connector

  Manage OpenAI resources via API — list models, monitor fine-tunes, manage batches and inspect Assistants from

  Ansehen

Vorschläge

• 

  Make (Workflow Automation) KI-Connector

  Manage workflow automation via Make — audit scenarios, track execution logs, and monitor data stores.

  Ansehen
• 

  Open WebUI KI-Connector

  Manage your Open WebUI instance — list models, handle chat completions, and manage RAG collections directly fr

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• 

  Relay Workflow Automation KI-Connector

  List, run, and manage workflow automations via Relay API.

  Ansehen
• 

  Epsilon3 Aerospace Operations KI-Connector

  Equip your AI agent to manage operational procedures, track execution runs, and monitor telemetry via the Epsi

  Ansehen