Hyperbolic GPU
FreeNot checkedIntegrates with Hyperbolic's decentralized GPU network to discover available instances, rent compute resources, establish SSH connections, and execute remote co
About
Integrates with Hyperbolic's decentralized GPU network to discover available instances, rent compute resources, establish SSH connections, and execute remote commands for on-demand machine learning workloads.
README
Interact with Hyperbolic's GPU cloud, enabling agents and LLMs to view and rent available GPUs, SSH into them, and run GPU-powered workloads for you.
https://github.com/user-attachments/assets/814d0327-ce5e-4c1b-90bc-7f3712aa1c68
Setup
Prerequisites
- Node.js 16 or higher
- npm or yarn
- A Hyperbolic API token
- (Optional) SSH private key for connecting to GPU instances
Getting a Hyperbolic Account and API Token
Register for a Hyperbolic account:
- Visit https://app.hyperbolic.xyz/
- Create an account or log in to your existing account
- Verify your email address
Deposit funds into your account:
- Log in to your Hyperbolic application
- Navigate to the "Billing" tab
- Select how much you want to deposit (we suggest starting with $25)
- Click Pay Now
- Follow the instructions to add funds to your account
- Note that you will need sufficient funds to rent GPU instances
Generate an API token:
- In your Hyperbolic dashboard, navigate to "Settings"
- Navigate to the API Key section
- Copy the generated token and keep it secure
- You will use this key in your MCP server configuration environment variables
Add your SSH public key:
- Generate an SSH key pair if you don't already have one
- In your Hyperbolic application, navigate to the "Settings" section
- Scroll down to the SSH Public Key section
- Paste your public key (usually from ~/.ssh/id_rsa.pub or similar)
- Click the save icon
Installation
Clone this repository:
git clone <your-repo-url> cd hyperbolic-mcpInstall dependencies:
npm installBuild the TypeScript files:
npm run build
Usage
Running the server locally
To run the server:
npm start
Connecting with Claude for Desktop
- Add the server to your Claude for Desktop config:
{
"mcpServers": {
"hyperbolic-gpu": {
"command": "node",
"args": ["/path/to/hyperbolic-mcp-server/build/index.js"],
"env": {
"HYPERBOLIC_API_TOKEN": "your-hyperbolic-api-token",
"SSH_PRIVATE_KEY_PATH": "/path/to/your/privatekey"
}
}
}
}
Restart Claude for Desktop.
Start a new conversation and interact with the server.
Note: You can provide environment variables either through the Claude Desktop config as shown above, or by creating a .env file in the project root. The .env file is only needed if you're not providing the variables through the config.
Available Tools
The server provides the following tools:
GPU Management Tools
list-available-gpus
Lists all available GPUs on the Hyperbolic network.
Example query: "Show me all available GPUs on Hyperbolic."
rent-gpu-instance
Rents a GPU instance from a specific cluster.
Parameters:
cluster_name: The name of the cluster to rent (e.g., "extrasmall-chamomile-duck")node_name: The name of the node (e.g., "prd-acl-msi-02.fen.intra")gpu_count: Number of GPUs to rent
Example query: "I want to rent 4 GPUs from the extrasmall-chamomile-duck cluster."
terminate-gpu-instance
Terminates a GPU instance that you have rented.
Parameters:
instance_id: The ID of the instance to terminate
Example query: "Terminate my GPU instance with ID abc123."
list-user-instances
Lists all active GPU instances that you have rented.
Example query: "Show me all my active GPU instances."
get-cluster-details
Gets detailed information about a specific cluster.
Parameters:
cluster_name: The name of the cluster to get details for
Example query: "Tell me more about the cluster called extrasmall-chamomile-duck."
SSH Tools
ssh-connect
Establishes an SSH connection to a remote server.
Parameters:
host: Hostname or IP address of the remote serverusername: SSH username for authenticationpassword: (Optional) SSH password for authenticationprivate_key_path: (Optional) Path to private key fileport: (Optional) SSH port number (default: 22)
Example query: "Connect to my GPU instance at 192.168.1.100 as user admin."
remote-shell
Executes a command on the connected remote server.
Parameters:
command: Command to execute on the remote server
Example query: "Run 'nvidia-smi' on the connected server."
ssh-status
Checks the current SSH connection status.
Example query: "What's the status of my SSH connection?"
ssh-disconnect
Closes the active SSH connection.
Example query: "Disconnect from the SSH server."
Security Notes
- This server requires your Hyperbolic API token and optionally an SSH private key
- These credentials can be provided either through the Claude Desktop config or a
.envfile - The server only runs locally and doesn't expose your credentials externally
- Commands to rent GPUs will incur charges on your Hyperbolic account
- The SSH private key must not be password protected as the server cannot handle password-protected keys
Troubleshooting
If you encounter issues:
- Check that your API token is correct and not expired
- Ensure you have sufficient credits on your Hyperbolic account
- Check the server logs for error messages
- Verify your network connection to the Hyperbolic API
- If using SSH, verify that your private key path is correct and the key has the right permissions.
License
Installing Hyperbolic GPU
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/hyperboliclabs/hyperbolic-mcpFAQ
Is Hyperbolic GPU MCP free?
Yes, Hyperbolic GPU MCP is free — one-click install via Unyly at no cost.
Does Hyperbolic GPU need an API key?
No, Hyperbolic GPU runs without API keys or environment variables.
Is Hyperbolic GPU hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Hyperbolic GPU in Claude Desktop, Claude Code or Cursor?
Open Hyperbolic GPU on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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