How to Use the Vast.ai (GPU Rental Cloud API) MCP in Claude

Q: How do I search for specific GPUs using the Vast.ai (GPU Rental Cloud API) with Claude Desktop?

You use searchoffers and pass a JSON object specifying the GPU name, like {"gpuname":{"eq":"A100"}}. The tool returns live data on which cards are currently listed for rent across Vast.ai.

Q: If I need to check my running GPUs using the Vast.ai (GPU Rental Cloud API) with Claude Desktop, what tool do I use?

The listinstances tool gives you a clean list of every instance currently rented on Vast.ai. It shows their status and key details so you know exactly what's running.

Q: Can Claude Desktop help me get new compute resources from the Vast.ai (GPU Rental Cloud API)?

Yep. You use rentinstance to spin up a GPU machine instantly. This tool handles the negotiation and deployment of your new compute capacity on Vast.ai.

Manage your compute needs for Claude Desktop.

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Connect Vast.ai (GPU Rental Cloud API) MCP to Claude Desktop

Create your Vinkius account to connect Vast.ai (GPU Rental Cloud API) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Vast.ai (GPU Rental Cloud API) with Claude Desktop

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Check Available GPUs with MCP Server

The `search_offers` tool finds specific GPU models available on Vast.ai. You pass a JSON query, like specifying an 'RTX 4090', and get back immediate marketplace results. This lets you vet hardware options before committing to compute resources. Need to compare prices or check availability for specialized cards? Running `search_offers` gives you the current GPU landscape across the Vast.ai network.

List and Monitor Instances

Run `list_instances` to see everything currently running under your account on Vast.ai. This shows you a clear inventory of all your rented compute instances, including their current status (running, stopped, etc.). It’s quick visibility into your whole GPU fleet. If you forget how many machines you've spun up or need to know which ones are active for your deep learning job, this tool gives you the full rundown.

Deploy New Compute Power

Need a fresh machine? The `rent_instance` tool immediately starts the process of renting a new GPU instance. You define what you need—the specs, duration, etc.—and get access to compute power fast. This is how you spin up environments for testing or training models without leaving your dev workflow. It's basically getting instant compute capacity on Vast.ai.

Setup guide

Set up Vast.ai (GPU Rental Cloud API) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Vast.ai (GPU Rental Cloud API) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Vast.ai (GPU Rental Cloud API) MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under vastai-gpu-rental-cloud-api-mcp.

json

{
  "mcpServers": {
    "vastai-gpu-rental-cloud-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vast.ai. 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.

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Common questions about Vast.ai (GPU Rental Cloud API) MCP in Claude Desktop

You use `search_offers` and pass a JSON object specifying the GPU name, like {"gpu_name":{"eq":"A100"}}. The tool returns live data on which cards are currently listed for rent across Vast.ai.

The `list_instances` tool gives you a clean list of every instance currently rented on Vast.ai. It shows their status and key details so you know exactly what's running.

Yep. You use `rent_instance` to spin up a GPU machine instantly. This tool handles the negotiation and deployment of your new compute capacity on Vast.ai.

This MCP Server works with instance details, including GPU names and rental statuses. You're reading and writing information about your active and potential compute hardware on Vast.ai.

No, it doesn't. When connecting via the web browser, you just paste the public HTTPS URL into the Integrations settings. The server must be publicly reachable.

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