Connectez Conduit à ChatGPT, Claude et Gemini

• 01 / 03Auditer l'infrastructure
• 02 / 03Déboguer vos erreurs de pipeline
• 03 / 03Surveiller la santé des synchronisations

Jour le plus rapide

690ms

Jour le plus lent

1171ms

Tendance sur 14 jours

En ralentissement+10%

Conduit Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_BeW6ubE4lh69UAetvEDl1Ynez7lChM15fiyrtFlY/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 — Conduit capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "conduit-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BeW6ubE4lh69UAetvEDl1Ynez7lChM15fiyrtFlY/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 Conduit avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Data Engineers

  Pour surveiller instantanément les métriques de santé des services de synchronisation entre bases de données.

• 02

  Professionnels DevOps

  Pour confirmer que les nouveaux déploiements de pipelines connectent correctement les points de terminaison.

• 03

  Administrateurs Systèmes

  Pour obtenir des rapports de suivi globaux et valider la continuité des flux de données critiques.

• 01

  Can I pause or delete pipelines using this MCP?

  No. For safety reasons, this MCP is limited to inspecting pipelines and displaying logs. You must use the Conduit dashboard to pause, modify, or delete pipelines.

• 02

  What AI clients can I use with this MCP?

  You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  Do I need admin credentials?

  If your Conduit instance requires it, you will need to provide an active Admin Password during the authorization step.

• 04

  How does the agent find my workflows?

  The agent uses the list_workflows capability to discover workflow IDs, which it then uses to perform more specific tasks like checking status or triggering runs.

• 05

  Is my data secure?

  Yes, Vinkius hosts the MCP and manages your credentials securely, allowing your agent to interact with your Conduit instance via authorized API calls.

• 06

  How do I systematically obtain an active API Key targeting the Conduit platform?

  Depending absolutely on how your infrastructure deployed the program (standalone desktop executable, core Docker containerized setups, or external Cloud instance providers), keys are defined at setup. Generally, navigate your hosted interface configurations to visually spot specific 'API section' panels or define standard keys via backend environment base configurations (for Docker setup instances, parameters typically refer natively mapping to 'CONDUIT_API_URL'). Insert keys properly downwards with other core data completely preserving original syntax precisely achieving seamless valid interactive integrations securely effortlessly resolving requirements seamlessly connecting completely natively without technical failures preventing operations running clearly correctly natively actively continuously stably.

• 07

  Can the text-based conversational integration construct entirely new data mapping pipelines logically?

  For maintaining stability and avoiding potentially flawed or disruptive integration commands inadvertently given through free text models over critical systems, this integration focuses capabilities mostly on analytical monitoring, status reviewing and component checks (observer and reporting methodologies). Direct architectural construction mapping entire data flow pipelines heavily relies on original detailed configurations inside Conduit visually rather than natural language textual generative guesses mitigating potential serious enterprise data leaks implicitly actively safely limiting functions structurally appropriately maintaining steady uncompromised safe connections.

• 08

  Which connector types can the AI list?

  The integration can list both source and destination connectors configured in your Conduit instance. Use the pipeline inspection capabilities to see which plugins are attached, their configuration parameters, and their current health status.

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