How to Use the CoreWeave (AI GPU Cloud) MCP in Cline
Cline builds and scales your GPU infrastructure on CoreWeave using direct tool execution.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
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
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
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
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.
{
"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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the CoreWeave (AI GPU Cloud) MCP today
We host it, we monitor it, we maintain it. You just paste one token.