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

Q: How can I write code using GPU searches with Vast.ai (GPU Rental Cloud API) inside Cursor?

Use searchoffers and pass the required JSON query to your agent. The AI will generate runnable code that incorporates the live availability data from Vast.ai, making it immediately functional.

Q: If I need to spin up new GPU compute power using the Vast.ai (GPU Rental Cloud API) in Cursor, what tool do I use?

You'll use rentinstance. The agent will write code that calls this function, which starts renting a GPU machine on Vast.ai and includes the necessary setup steps.

Q: Does Cursor support using the Vast.ai (GPU Rental Cloud API) when running complex tasks?

Yes. When you're in Agent mode, the AI can call tools like deleteinstance and inject the resulting data directly into the code you're writing, handling real-world context.

Q: If I want to check my existing instances using the Vast.ai (GPU Rental Cloud API) in Cursor, which tool should I call?

Call listinstances. This retrieves a direct list of all your rented GPU compute resources from Vast.ai, allowing you to reference their IDs and status within your code.

Write code that interacts with GPU rentals in Cursor.

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

Create your Vinkius account to connect Vast.ai (GPU Rental Cloud API) to Cursor 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 Cursor

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Search for Available GPUs via MCP Server

When you need to check what hardware is available, use `search_offers`. You pass a JSON query detailing the GPU you want, and the AI generates code that uses those real Vast.ai results. It gives live data right into your script. Forget mock API stubs. This tool lets your agent call `search_offers` to find specific cards on Vast.ai so your generated Python or Javascript is immediately useful.

Manage and Terminate Instances

The `delete_instance` tool writes code that terminates a running GPU instance on Vast.ai. You feed the ID, and the AI generates the necessary cleanup calls. It's perfect for making sure your test environments don't run forever. Writing reliable code means cleaning up after yourself. This tool ensures your agent can reliably shut down compute resources you rented from Vast.ai.

Check Current GPU Fleet Status

To know what's running, call `list_instances`. The AI integrates the list output directly into your code block. You instantly see all the currently active and managed instances on Vast.ai without leaving Cursor. It keeps your coding context tight. Instead of switching tabs to check a dashboard, you just let the agent run `list_instances` in place.

Setup guide

Set up Vast.ai (GPU Rental Cloud API) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Vast.ai (GPU Rental Cloud API) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Vast.ai (GPU Rental Cloud API) transactions." If the MCP tools are loaded correctly, Cursor will call the Vast.ai (GPU Rental Cloud API) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

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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 Cursor

Use `search_offers` and pass the required JSON query to your agent. The AI will generate runnable code that incorporates the live availability data from Vast.ai, making it immediately functional.

You'll use `rent_instance`. The agent will write code that calls this function, which starts renting a GPU machine on Vast.ai and includes the necessary setup steps.

Yes. When you're in Agent mode, the AI can call tools like `delete_instance` and inject the resulting data directly into the code you're writing, handling real-world context.

The server handles instance details, including GPU names and rental statuses. The AI can read this information to help you write code that manages your compute resources on Vast.ai.

Call `list_instances`. This retrieves a direct list of all your rented GPU compute resources from Vast.ai, allowing you to reference their IDs and status within your code.

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