Quickstart

In just 60 seconds you can start developing on GPUs by connecting Cursor, Claude Code, etc. directly to our API. This allows your AI agent to help you set up and manage servers on your behalf.

Create an Account

Add a Payment Method

Add a payment method to your account.

Connect Your Agent

Use an AI agent that supports remote MCP servers (Claude Code, Cursor, Codex, etc.).

Run this in your terminal:

claude mcp add --transport http thunder-compute https://www.thundercompute.com/mcp

Then start Claude Code and run /mcp to authenticate. A browser window will open for you to log in and authorize access.

Manual setup

Alternatively, add to ~/.claude.json (global) or .claude.json in your project root:

{
  "mcpServers": {
    "thunder-compute": {
      "url": "https://www.thundercompute.com/mcp"
    }
  }
}

Run this in your terminal:

codex mcp add thunder-compute --url https://www.thundercompute.com/mcp

Codex will prompt you to authenticate via OAuth when you first use a Thunder Compute tool.

Add to .cursor/mcp.json in your project root (or ~/.cursor/mcp.json for global access):

{
  "mcpServers": {
    "thunder-compute": {
      "type": "http",
      "url": "https://www.thundercompute.com/mcp"
    }
  }
}

Add to your MCP configuration:

{
  "mcpServers": {
    "thunder-compute": {
      "serverUrl": "https://www.thundercompute.com/mcp",
      "headers": {
        "Content-Type": "application/json"
      }
    }
  }
}

If you use an MCP client that supports Smithery, you can install directly:

npx @smithery/cli install @thunder-compute/thunder-compute

Or browse the Thunder Compute listing on Smithery and click Install for your client.

For custom integrations, the MCP server uses Streamable HTTP transport at a single endpoint. Authentication is via OAuth 2.0 with standard MCP discovery.Endpoint: https://www.thundercompute.com/mcp

curl -X POST https://www.thundercompute.com/mcp \
  -H "Authorization: Bearer <access-token>" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "method": "initialize",
    "params": {
      "protocolVersion": "2025-03-26",
      "capabilities": {},
      "clientInfo": { "name": "my-agent", "version": "1.0.0" }
    },
    "id": 1
  }'

Try It Out

Once configured, ask your AI agent to:

“Spin up an A100 instance with PyTorch”
“List my running instances”
“Run nvidia-smi on my instance”
“How much have I spent this month?”

The MCP server gives your agent access to everything you would want to do with a GPU.

Next Steps

Read the full MCP Server guide for the complete list of available tools, prompts, and troubleshooting
Learn about Prototyping vs Production to choose the right mode for your workload
Explore Technical Specifications for hardware, networking, and storage details

Getting Started

Operations

Guides

Reference

API Reference

Create an Account

Add a Payment Method

Connect Your Agent

Try It Out

Next Steps

Getting Started

Operations

Guides

Reference

API Reference

​Create an Account

​Add a Payment Method

​Connect Your Agent

​Try It Out

​Next Steps

Create an Account

Add a Payment Method

Connect Your Agent

Try It Out

Next Steps