Connectez SketricGen à ChatGPT, Claude et Gemini

• 01 / 03Automatiser le support
• 02 / 03Déboguer les erreurs d'agent
• 03 / 03Suivre l'usage de l'IA

Jour le plus rapide

779ms

Jour le plus lent

1038ms

Tendance sur 14 jours

Stable-2%

SketricGen Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/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 — SketricGen capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "sketricgen-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1oQD0BGOH8qoRrYb4Ucw7jvZh5NHJimdTtL2Lk2H/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 SketricGen avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieurs IA

  Pour déployer et orchestrer des systèmes multi-agents complexes.

• 02

  Prompt Designers

  Pour affiner les interactions et l'utilisation des bases de connaissances.

• 03

  Équipes d'automatisation

  Pour gérer des workflows avec une traçabilité complète des exécutions.

• 01

  How do I connect SketricGen to my AI client?

  You subscribe to the MCP through Vinkius and provide your SketricGen API key. Once connected, your client can immediately use the available capabilities.

• 02

  Can I see why a workflow failed?

  Yes. You can use the tracing capabilities to pull detailed execution traces, which show the specific capability calls and logic steps taken during a run.

• 03

  How are credits managed?

  You can track credit consumption per run using the credit usage capabilities to monitor how much each workflow execution costs.

• 04

  What kind of data can the agents access?

  Agents can access CRM-style contact profiles and information stored in your vector-searchable knowledge bases.

• 05

  Does this work with any AI client?

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

• 06

  How can my AI analyze the execution steps of a specific workflow?

  Simply use the debug_workflow_trace capability. Your agent will instantly retrieve the execution trace, detailing every capability call, data transfer between agents, and total credit consumption per run.

• 07

  Is it possible to programmatically manage and query documents for my agents?

  Yes. By executing the manage_knowledge_base action, your AI agent can upload files (PDF, DOCX, TXT, HTML) or search existing repositories to provide context-aware, highly accurate responses.

• 08

  Can I automatically trigger workflows tied to specific customer records?

  Absolutely. Ask the agent to use the run_workflow_for_contact capability. It will execute the designated workflow while injecting the specific contact's history, enabling personalized, data-driven outputs.

• 

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• 

  Langflow (Visual Multi-agent Orchestrator) Connecteur IA

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• 

  VectorShift (AI Workflow & RAG Automation) Connecteur IA

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