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Hyperbolic MCP

The Hyperbolic GPU MCP Server is a tool for interacting with the Hyperbolic GPU cloud, allowing agents and LLMs to view, rent GPUs, and run GPU-accelerated workloads via SSH connections.
2.5 points
3

What is the Hyperbolic GPU MCP Server?

This is a middleware that connects to the Hyperbolic GPU cloud service, allowing you to view, rent, and manage cloud GPU resources through natural language commands. You can directly control GPU instances through an AI assistant (such as Claude) without complex command-line operations.

How to use the Hyperbolic GPU service?

Simply tell the AI assistant your requirements through the dialogue interface, such as 'Help me rent 2 GPUs' or 'Run this model on the GPU', and the system will automatically complete all technical operations.

Applicable scenarios

Suitable for users who need temporary GPU resources for computationally intensive tasks such as machine learning training, model inference, and 3D rendering, especially developers and researchers who do not want to maintain GPU hardware themselves.

Main features

GPU resource managementView, rent, and release cloud GPU resources, supporting the selection of different specifications of GPU clusters.
Remote operationConnect to GPU instances via SSH and execute commands without manually logging in to the server.
AI assistant integrationInteract directly with the AI assistant in natural language to complete all GPU operations.

Advantages and limitations

Advantages
Use cloud GPU resources without professional knowledge of GPU hardware.
Pay as you go, saving costs.
Simple and intuitive operation through natural language interaction.
Automatically handle complex technical details such as SSH connections.
Limitations
Need to pre - recharge the account balance.
SSH private keys cannot be password - protected.
Dependent on the availability of the Hyperbolic cloud service.

How to use

Register a Hyperbolic account
Visit the Hyperbolic website to create an account and complete email verification.
Recharge the account
Recharge at least $25 on the Billing page to pay for GPU rental fees.
Get an API key
Generate and copy your API key on the Settings page.
Configure SSH keys
Upload your SSH public key to connect to GPU instances.
Start the MCP server
Configure and run the MCP server to connect your AI assistant.

Usage examples

Run deep learning trainingRent GPUs to run a PyTorch training script.
Check GPU statusView the usage of rented GPUs.
Release GPU resourcesRelease GPUs after completing tasks to save costs.

Frequently Asked Questions

How is the cost of renting GPUs calculated?
Why does my SSH connection fail?
Can I rent multiple GPU instances simultaneously?
How can I view my account balance?

Related resources

Hyperbolic official website
Register an account and manage GPU resources.
GitHub repository
Source code and documentation for the MCP server.
SSH key generation guide
How to generate an SSH key pair.
Installation
Copy the following command to your Client for configuration
{
  "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" 
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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