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

Q: Does Vinkius support scheduling tasks with Vast.ai (GPU Rental Cloud API) in Windsurf?

Yes. By combining searchoffers with an autonomous workflow, Windsurf can plan the entire deployment sequence—from finding a GPU to calling rentinstance—allowing you to automate resource setup.

Q: Can I check my currently running GPUs using Vast.ai (GPU Rental Cloud API) in Windsurf?

Absolutely. The listinstances tool lets your agent quickly get a manifest of every GPU instance you have active on the platform.

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

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

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Perplexity

Search for optimal GPU hardware

Need to figure out the best card for a new model? Use `search_offers` to query the Vast.ai marketplace by specific criteria, like searching only for 'RTX 4090' instances. Cascade reads this JSON output and gives you the top available deals so you can decide where to run your next deep learning job. It’s much better than manual lookups. Once you find a good offer, Windsurf keeps that context ready. You don't have to copy-paste anything; it just knows what GPU you want and moves on to the next step.

Deploy high-performance cloud GPUs

When you've settled on a target, `rent_instance` handles the deployment. Windsurf executes this tool call autonomously, spinning up your GPU container in the Vast.ai cloud infrastructure. You get confirmation that the instance is live and ready for your AI code to connect to. This whole process—from searching to renting—runs without you having to guide it step-by-step. It just sees the goal (a running 4090) and figures out the sequence of tool calls needed.

Manage and terminate GPU instances

Don't forget cleanup. If a test job is done, you need to shut it down fast. Run `list_instances` first to see exactly what GPUs are currently running under your account on Vast.ai. Then, use `delete_instance` to terminate any leftover or unused resources immediately. This prevents billing surprises and keeps your cloud environment clean. It’s a critical step in building reliable, repeatable AI workflows.

Setup guide

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

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

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

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

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Vast.ai (GPU Rental Cloud API) payment history." If connected, Cascade will call the Vast.ai (GPU Rental Cloud API) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.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 Windsurf

Windsurf reads the available tools on the MCP Server automatically. You just set a goal, like 'Deploy a 4090 for my training run,' and Cascade figures out that it needs to call `search_offers` then `rent_instance`.

This server primarily handles GPU instance metadata, including the card name (`gpu_name`), status, and pricing information from Vast.ai's marketplace listings.

Yes. By combining `search_offers` with an autonomous workflow, Windsurf can plan the entire deployment sequence—from finding a GPU to calling `rent_instance`—allowing you to automate resource setup.

Absolutely. The `list_instances` tool lets your agent quickly get a manifest of every GPU instance you have active on the platform.

Vinkius manages the connection and exposes these tools to your agent client. This lets Windsurf orchestrate complex, multi-step actions—like searching *and* renting—without you needing dozens of manual prompts.

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