trackmcp
Back to directory
HyperbolicLabs

hyperbolic-mcp

View on GitHub

MCP Server for Claude

15 stars TypeScriptAI & Machine Learning Updated Oct 4, 2025

Documentation

Hyperbolic GPU MCP Server

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

1. Register for a Hyperbolic account:

    2. Deposit funds into your account:

      3. Generate an API token:

        4. Add your SSH public key:

          Installation

          1. Clone this repository:

          bash
          git clone 
             cd hyperbolic-mcp

          2. Install dependencies:

          bash
          npm install

          3. Build the TypeScript files:

          bash
          npm run build

          Usage

          Running the server locally

          To run the server:

          bash
          npm start

          Connecting with Claude for Desktop

          1. Add the server to your Claude for Desktop config:

          json
          {
            "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" 
                }
              }
            }
          }

          2. Restart Claude for Desktop.

          3. 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 server
          • `username`: SSH username for authentication
          • `password`: (Optional) SSH password for authentication
          • `private_key_path`: (Optional) Path to private key file
          • `port`: (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 `.env` file
          • 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:

          1. Check that your API token is correct and not expired

          2. Ensure you have sufficient credits on your Hyperbolic account

          3. Check the server logs for error messages

          4. Verify your network connection to the Hyperbolic API

          5. If using SSH, verify that your private key path is correct and the key has the right permissions.

          License

          MIT License

          Frequently asked questions

          What is hyperbolic-mcp?

          hyperbolic-mcp is MCP Server for Claude

          How do I install hyperbolic-mcp?

          Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

          Is hyperbolic-mcp open source?

          Yes — it is hosted on GitHub at https://github.com/HyperbolicLabs/hyperbolic-mcp and has 15 stars.

          Related MCP tools

          Run your own MCP server? See who uses it and what to fix.

          Measure it with TrackMCP