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How to Use the CoreWeave (AI GPU Cloud) MCP in Cline

Cline builds and scales your GPU infrastructure on CoreWeave using direct tool execution.

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Works with every AI agent you already use

…and any MCP-compatible client

CoreWeave (AI GPU Cloud) MCP on Cursor AI Code Editor MCP Client CoreWeave (AI GPU Cloud) MCP on Claude Desktop App MCP Integration CoreWeave (AI GPU Cloud) MCP on OpenAI Agents SDK MCP Compatible CoreWeave (AI GPU Cloud) MCP on Visual Studio Code MCP Extension Client CoreWeave (AI GPU Cloud) MCP on GitHub Copilot AI Agent MCP Integration CoreWeave (AI GPU Cloud) MCP on Google Gemini AI MCP Integration CoreWeave (AI GPU Cloud) MCP on Lovable AI Development MCP Client CoreWeave (AI GPU Cloud) MCP on Mistral AI Agents MCP Compatible CoreWeave (AI GPU Cloud) MCP on Amazon AWS Bedrock MCP Support
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Cline

Connect CoreWeave (AI GPU Cloud) MCP to Cline

Create your Vinkius account to connect CoreWeave (AI GPU Cloud) to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Automated Cluster Provisioning for Cline

Cline uses `create_cluster` and `create_vpc` to build your environment from scratch based on a project prompt. You tell it what you need, and the agent executes every step required to initialize the hardware. It keeps track of all active resources by calling `list_clusters` and `list_vpcs` to ensure your configuration matches your requirements. You get a functional GPU setup without touching the cloud console.

End-to-End Inference Management for Cline

Use Cline to deploy models by invoking `create_deployment` and `create_gateway` in sequence. The agent verifies the setup by checking the status of your new endpoints. If traffic patterns shift, Cline adjusts your resources with `update_deployment`. It manages the entire lifecycle so you can focus on the code running on the hardware.

Direct Log Analysis for Cline

When your code fails, Cline runs `query_logs` to find the specific error messages from your inference pods. It analyzes the output and proposes fixes immediately. It also uses `query_metrics` to confirm your GPU utilization is hitting the targets you defined. The agent reports the findings directly in your chat window.

Setup guide

Set up CoreWeave (AI GPU Cloud) MCP in Cline

Prerequisites

  • VS Code with Cline extension installed
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open Cline MCP settings

    Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.

  2. 2

    Add a remote server

    Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type coreweave-ai-gpu-cloud-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.

  3. 3

    Enable the server

    After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.

  4. 4

    Start using tools

    Return to the Cline chat and ask: "Check my latest CoreWeave (AI GPU Cloud) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings
{
  "mcpServers": {
    "coreweave-ai-gpu-cloud-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CoreWeave. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CoreWeave (AI GPU Cloud) MCP in Cline

Open the MCP settings in your Cline sidebar and add the server URL. Cline will immediately index the tools and become ready to manage your cloud infrastructure.
Cline uses the server to provision and manage the infrastructure where your code runs. You retain full control over the deployment lifecycle through the chat interface.
Your connection is protected by Vinkius-managed tokens. This ensures that only your authorized Cline instance can talk to your infrastructure endpoints.
The server only sends operational metadata like resource status and performance metrics to Cline. It does not share any sensitive application data or user records.
We enforce strict ephemeral access protocols. The server only transmits the specific resource details Cline requests, and all traffic is encrypted end-to-end.

Start using the CoreWeave (AI GPU Cloud) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 24 tools

We've already built the connector for CoreWeave (AI GPU Cloud). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 24 tools are live and waiting. You're up and running in seconds.

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