Connectez Langflow Visual Multi Agent Orchestrato à votre IA

• 01 / 03Déboguer les erreurs
• 02 / 03Organiser les projets
• 03 / 03Comment lancer des flux Langflow

Jour le plus rapide

852ms

Jour le plus lent

1225ms

Tendance sur 14 jours

Stable+4%

Langflow Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_SsoeJOXDcMZ5NDD4MrW7XRXB6MCQXkWhm3WbCM4n/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 — Langflow capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "langflow-visual-multi-agent-orchestrator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SsoeJOXDcMZ5NDD4MrW7XRXB6MCQXkWhm3WbCM4n/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 Langflow avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieurs IA

  Pour tester et déclencher rapidement des flux RAG ou multi-agents complexes.

• 02

  Équipes Produit

  Pour surveiller et gérer les versions de flux et les dossiers de projets via le langage naturel.

• 03

  Responsables DevOps & Automatisation

  Pour intégrer la logique visuelle de l'IA dans des systèmes plus larges via des webhooks.

• 01

  How do I connect my Langflow instance?

  You subscribe to the MCP on Vinkius and enter your Langflow Base URL and API Key. Once connected, your AI client can immediately start interacting with your flows.

• 02

  Can I run flows with text input?

  Yes, the run_flow capability supports both chat and text input types for executing your flows.

• 03

  Is it possible to debug flows through my AI client?

  Yes, you can use capabilities like get_logs and get_monitor_traces to retrieve execution data and debug your agentic workflows.

• 04

  Does this work with Cursor or VS Code?

  Yes, this MCP is compatible with any MCP-compatible client, including Cursor, Windsurf, and VS Code.

• 05

  Can I organize my flows into folders?

  Yes, you can use the project management capabilities to create, list, and update project folders to keep your workflows structured.

• 06

  Can I run a flow using its name instead of a long UUID?

  Yes! The run_flow capability accepts either the Flow ID or the Flow Name in the flow_id parameter, making it easy to trigger specific logic by name.

• 07

  How do I see all the available projects and folders in my Langflow instance?

  Use the list_projects capability. It will return a list of all projects (folders) which help organize your flows and components.

• 08

  Is it possible to trigger a flow from an external webhook payload?

  Absolutely. Use the trigger_webhook capability by providing the flow_id and the data JSON payload you want to send to the flow's entry point.

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