How to give Claude Code, Codex or Cursor access to GPUs (MCP setup)

Oct 8, 2026 - 3 min read

Short answer: connect your coding agent to a GPU platform’s MCP server. The agent can then estimate, launch, watch and fetch results from GPU jobs from the same chat where it wrote the code. With Nodus that is one command per client, and every paid action shows a dry run and cost estimate before it runs.

Coding agents are great at writing a training script and terrible at the part after: finding a GPU, shipping code to it, watching logs, copying results back. MCP closes that loop.

Claude Code

claude mcp add --scope user --transport http nodus https://api-next.nodus-compute.ai/mcp

Then run /mcp, pick nodus, and sign in in your browser.

Codex

codex mcp add nodus --url https://api-next.nodus-compute.ai/mcp
codex mcp login nodus

Cursor

Add this to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "nodus": { "type": "http", "url": "https://api-next.nodus-compute.ai/mcp" }
  }
}

Any other MCP client

Add a remote HTTP MCP server with URL https://api-next.nodus-compute.ai/mcp and follow the sign-in prompt. Prefer a local server? Install the CLI and run nodus mcp install, which configures the agents on your machine.

Verify without spending money

Ask the agent: “List my Nodus jobs.” That is read only. A good first prompt for any agent that can read URLs:

Read https://nodus-compute.ai/connect.md and help me connect Nodus to this agent.
Verify setup by listing my jobs. Do not start paid compute.

What the agent can actually do

The server exposes generic tools over every resource: get, describe, logs, estimate, apply, exec and more. In practice that means prompts like:

“Run train.py on a 24 GB GPU with a $5 cap and stream the logs.”
“Why did job/train fail?”
“Fine-tune Qwen3 0.6B with LoRA on chats.jsonl and download the adapter.”
“What did my sandboxes cost this week?”

Guardrails that matter when an agent holds your credit card

Writes are dry-run first. The agent sees the object as it would be created plus the cost estimate, and it only runs once confirmed.
Same limits as you. The agent uses your account, projects, budgets and spending caps. A project budget stops it from overspending even if it gets creative.
Hard caps per job. maxCostUSD stops a job gracefully, with a checkpoint, before it passes the cap.
Frozen rates. The hourly rate is fixed when the machine is chosen and holds for the whole run.

FAQ

Do I need a separate “agents” product to use Claude Code with GPUs? No. MCP is enough. Nodus Agents is a different feature for running agent conversations inside Nodus.

Which GPU does the agent get? By default the cheapest offering that fits the request and can start now, within your limits. You can ask for a specific type like H100 or B200.

What does it cost to try? New accounts get a $30 starter grant, no card needed for the first runs.

Setup for every client: nodus-compute.ai/connect