Connectez AirOps à ChatGPT, Claude et Gemini

• 01 / 03Comment automatiser l'extraction de données
• 02 / 03Comment déléguer des tâches
• 03 / 03Interroger les bases de connaissances

Jour le plus rapide

825ms

Jour le plus lent

1123ms

Tendance sur 14 jours

Stable0%

AirOps Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "airops-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0guLp9ho3nBBv2oVWQwh3EyBDOaKJy251N5l5oxu/mcp"
    }
  }
}

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer AirOps avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieurs IA

  Automatisez l'exécution de chaînes LLM complexes et surveillez les performances de vos modèles en continu.

• 02

  Chefs de produit

  Auditez les résultats des applications IA et configurez des agents spécialisés à la volée pour des tests rapides.

• 03

  Responsables des opérations

  Intégrez l'extraction de données et l'analyse pilotées par l'IA dans vos processus métier existants.

• 04

  Spécialistes des données

  Gérez et interrogez les bases de connaissances internes en utilisant les capacités de mémoire d'AirOps.

• 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.

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