How to Use the Vast.ai (GPU Rental Cloud API) MCP in VS Code Copilot

Q: How do I use searchoffers to check GPU availability with Vast.ai (GPU Rental Cloud API) in VS Code Copilot?

You include the MCP server config in .vscode/mcp.json, and then ask Copilot Chat to run searchoffers. The agent passes the required JSON query, retrieving live data on available GPUs from Vast.ai.

Q: If I need to check my existing compute fleet using the Vast.ai (GPU Rental Cloud API) in VS Code Copilot, what tool should I use?

Use listinstances. This pulls a complete list of all rented GPU instances from your account on Vast.ai and displays it right within your IDE chat window.

Q: Can the MCP Server help me start new compute resources with Vast.ai (GPU Rental Cloud API) in VS Code Copilot?

Yep. The rentinstance tool allows you to programmatically spin up a GPU machine on Vast.ai by triggering the necessary calls through your configured MCP Server.

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Connect Vast.ai (GPU Rental Cloud API) MCP to VS Code Copilot

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Setup Vast.ai (GPU Rental Cloud API) with VS Code Copilot

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Find Available GPUs via Vast.ai (GPU Rental Cloud API)

Use `search_offers` to programmatically find specific GPU models on Vast.ai. The team can commit the MCP config, ensuring every developer sees the same tool for checking availability. This helps manage resource requirements across the entire project. When writing infrastructure code, this capability lets developers verify hardware constraints by calling `search_offers`, making sure the required GPUs are actually listed for rent on Vast.ai.

Monitor and Manage Instances with MCP Server

The `list_instances` tool allows Copilot Chat to pull a list of all currently rented GPU instances from Vast.ai directly into the workspace context. Developers don't need to switch between terminal commands and code. This capability is great for auditing or debugging, letting the team confirm the status of every compute resource managed by the project using Vast.ai.

Start New GPU Rentals with MCP Server

When a new test environment is needed, `rent_instance` starts the process automatically. The Copilot Chat agent handles calling this tool and integrating the necessary setup logic into the team's codebase. This makes onboarding or scaling compute resources seamless. You just write a comment asking for it, and the MCP Server executes the rental on Vast.ai.

Setup guide

Set up Vast.ai (GPU Rental Cloud API) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

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

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Vast.ai (GPU Rental Cloud API) tools listed. Try asking: "List my recent Vast.ai (GPU Rental Cloud API) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Vast.ai (GPU Rental Cloud API) MCP in VS Code Copilot

You include the MCP server config in `.vscode/mcp.json`, and then ask Copilot Chat to run `search_offers`. The agent passes the required JSON query, retrieving live data on available GPUs from Vast.ai.

Use `list_instances`. This pulls a complete list of all rented GPU instances from your account on Vast.ai and displays it right within your IDE chat window.

Yep. The `rent_instance` tool allows you to programmatically spin up a GPU machine on Vast.ai by triggering the necessary calls through your configured MCP Server.

The server interacts with instance details, including GPU names and rental statuses. The team's code uses this information to build logic around managed compute resources on Vast.ai.

It handles JSON-formatted requests and responses concerning instance details, GPU names, and availability status from your compute environment on Vast.ai.

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