thunder-compute
MCP serverMonitoring & opsHand your GPU cloud work to your AI. Once this integration is added, your AI can create and manage GPU instances on Thunder Compute, a GPU cloud platform, and take care of snapshots, SSH keys, monitoring, and billing for you.
Use thunder-compute in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add thunder-compute and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use thunder-compute
Needs your own thunder-compute account. You sign in to it and approve access when you connect.
Details
Available today. Use it from your connected AI after setup.
After adding it, ask your AI to check on your GPU instances or billing to confirm the connection works. Setup details are in the repository at github.com/thunder-compute/thunder-cli.
What your AI can do with it
- Create and manage GPU instances
- Monitor your instances
- Manage snapshots
- Manage SSH keys
- Check your billing
Install thunder-compute
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user thunder-compute 'https://api.thundercompute.com:8443/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://api.thundercompute.com:8443/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=thunder-compute&config=eyJ1cmwiOiJodHRwczovL2FwaS50aHVuZGVyY29tcHV0ZS5jb206ODQ0My9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://api.thundercompute.com:8443/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add thunder-compute --url 'https://api.thundercompute.com:8443/mcp'Run it once, then sign in with codex mcp login thunder-compute if the server asks for an account.
From the project's README
As published by thunder-compute/thunder-cli in README.md.
tnr is the official command-line interface for Thunder Compute, a high-performance cloud GPU platform built for AI/ML prototyping and experimentation.
Using a proprietary orchestration engine, Thunder Compute delivers fast provisioning, low-latency execution, and low-cost GPU compute designed for developer workflows.
The tnr CLI supports:
- Provisioning and managing GPU instances
- Configuring compute resources and instance specifications
- Secure SSH access and session management
- File transfer capabilities (SCP upload and download)
- Port forwarding for accessing remote services locally
- Automated update checks and version management
- Cross-platform support for macOS, Linux, and Windows
Documentation
- CLI Reference: https://www.thundercompute.com/docs/cli-reference
- API Reference: https://www.thundercompute.com/docs/api-reference
- Get Started: https://www.thundercompute.com/docs/quickstart
- Troubleshooting: https://www.thundercompute.com/docs/troubleshooting
Installation
Install tnr using one of the supported methods below. You may also download installers and binaries directly from the Latest Release page.
macOS
Download the .pkg installer for your platform from the Latest Release page (tnr_*_darwin_arm64.pkg for Apple Silicon, tnr_*_darwin_amd64.pkg for Intel).
Homebrew:
brew tap Thunder-Compute/tnr
brew install tnr
Linux
Download .tar.gz, .deb, .rpm, or .apk packages from the Latest Release page.
Install script (recommended):
curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash
Windows
Download the .msi installer for your platform from the Latest Release page.
Scoop:
scoop bucket add tnr https://github.com/Thunder-Compute/scoop-bucket
scoop install tnr
Winget:
winget install Thunder.tnr
Build from Source
git clone https://github.com/Thunder-Compute/thunder-cli.git
cd thunder-cli
go build -o tnr
./tnr
Quick Start
tnr login # Authenticate with Thunder Compute
tnr create # Create a GPU instance
tnr status # View instance status
tnr connect 0 # Connect to your instance
# File transfers
tnr scp myfile.py 0:/home/ubuntu/
tnr scp 0:/home/ubuntu/results.txt ./
tnr delete 0 # Delete instance
tnr login opens a browser and returns to a loopback callback on
127.0.0.1. On a headless or remote machine where that callback cannot be
reached, create a named API token in Console Settings and run
tnr login --token <named_api_token> instead.
Local and staging testing (monorepo)
For a local API, run make cli-local ARGS="login", make cli-local ARGS="status", or make cli-local ARGS="logout --revoke" from the Thundernetes repository root. This builds cli/dist/tnr-local and targets http://localhost:8443, storing credentials in cli/dist/local-home separately from staging and production. Start your local API first; the runner does not start it. Browser login also needs the API's OAuth configuration and a running authorization page, normally the local Console at http://localhost:3000. For arguments requiring shell quoting, use bash cli/scripts/tnr-local.sh <arguments>.
From the Thundernetes repository root, run make cli-staging ARGS="login", make cli-staging ARGS="status", or make cli-staging ARGS="logout --revoke". Each invocation builds the current branch through Bazel and runs cli/dist/tnr-staging against the URL supplied through TNR_STAGING_API_URL. The monorepo Makefile supplies the default; the CLI scripts contain no staging endpoint. Credentials are saved separately in cli/dist/staging-home, an inherited TNR_API_TOKEN is ignored, and self-updates are disabled. These generated files are gitignored. For arguments requiring shell quoting, export TNR_STAGING_API_URL and run bash cli/scripts/tnr-staging.sh <arguments> directly.
Browser login requires the staging API's /v1/auth/cli/oauth-config endpoint and staging Connected App configuration. A 404 indicates the route is unavailable; a 503 can indicate missing OAuth configuration. Local builds do not deploy or configure the API.
License
This project is licensed under the MIT License. See LICENSE for details.
Signals
- GitHub stars
- 34
- Forks
- 12
- Last commit
- Sep 2026
Advanced
- Delivery
- thunder-compute MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-thunder-compute-thunder-compute- Source
- github.com/thunder-compute/thunder-cli
- Hosted endpoint
https://api.thundercompute.com:8443/mcp
github.com/thunder-compute/thunder-cli
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