Documentation Index Fetch the complete documentation index at: https://www.thundercompute.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
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 Sign up for a Thunder Compute account here .
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.).
Claude Code
Codex
Cursor
Windsurf
OpenCode
Smithery
Direct HTTP
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.
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" } } } }
Add the MCP server
Run the interactive setup: When prompted:
Server name: thunder-computeServer type: RemoteURL: https://www.thundercompute.com/mcpRequires OAuth: YesPre-registered client ID: No
Authenticate
opencode mcp auth thunder-compute
A browser window will open for you to log in and authorize access.
Start coding
The Thunder Compute tools are now available in your session.
Alternatively, add to ~/.config/opencode/opencode.json: { "$schema" : "https://opencode.ai/config.json" , "mcp" : { "thunder-compute" : { "type" : "remote" , "url" : "https://www.thundercompute.com/mcp" , "oauth" : {} } } }
Then run opencode mcp auth thunder-compute to authenticate. 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/mcpcurl -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 
