Connectez Coreweave AI GPU Cloud à ChatGPT, Claude et Gemini

• 01 / 01Déployer l'inférence de modèle

Jour le plus rapide

774ms

Jour le plus lent

1112ms

Tendance sur 14 jours

En amélioration-6%

CoreWeave Connector

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

Lien du connecteurhttps://edge.vinkius.com/vk_preview_a151JnxoNH7y2muaVwaqzr9Q5YKz8wmiZJSE1HZv/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 — CoreWeave capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopier

{
  "mcpServers": {
    "coreweave-ai-gpu-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_a151JnxoNH7y2muaVwaqzr9Q5YKz8wmiZJSE1HZv/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 CoreWeave avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieurs ML

  Pour provisionner et dimensionner des clusters GPU sans quitter l'environnement de développement.

• 02

  Équipes DevOps

  Pour automatiser la configuration des VPC et le routage des passerelles pour les services IA en production.

• 03

  Chercheurs en IA

  Pour inspecter rapidement l'état des clusters et la santé des déploiements lors de l'entraînement de modèles.

• 01

  How do I connect this MCP to my AI client?

  You subscribe to the MCP on Vinkius and enter your CoreWeave API Token. Once connected, you can use it immediately in any MCP-compatible client like Claude or Cursor.

• 02

  Which AI clients are compatible with this MCP?

  This MCP works with any client that supports the Model Context Protocol, including Claude, Cursor, and Windsurf.

• 03

  Do I need to manage the hosting for this MCP?

  No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your credentials.

• 04

  Can I use this for monitoring my deployments?

  Yes, the MCP includes capabilities to query Prometheus metrics and Loki logs so your agent can inspect deployment health.

• 05

  What kind of infrastructure can I manage?

  You can manage CKS clusters, VPCs, Inference Deployments, Capacity Claims, and Inference Gateways.

• 06

  Can I list all my active Kubernetes clusters across the CoreWeave infrastructure?

  Yes. By using the list_clusters capability, your agent will retrieve a complete list of all bare-metal Kubernetes clusters (CKS) managed under your account.

• 07

  How do I check the specific network configuration of a VPC?

  You can use the get_vpc capability by providing the specific VPC ID. The agent will return detailed information about network isolation and configuration for that resource.

• 08

  Is it possible to create a new inference gateway via the AI agent?

  Absolutely. Use the create_gateway capability with the required specification JSON. This allows you to set up routing and authentication for your AI model traffic programmatically.

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