hyperbolic-mcp
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Hyperbolic GPU MCP Server allows interaction with Hyperbolic's GPU cloud for managing GPU resources and executing workloads.
The Hyperbolic GPU MCP Server is a robust platform designed to facilitate seamless interaction with Hyperbolic's GPU cloud infrastructure. It enables users, including agents and large language models (LLMs), to efficiently manage GPU resources by viewing, renting, and utilizing available GPUs for various computational tasks. The server supports SSH connections to GPU instances, allowing users to execute GPU-powered workloads directly. With a focus on ease of use, the server integrates with Claude for Desktop, providing a user-friendly interface for managing GPU resources. The server is built on Node.js and requires a Hyperbolic API token for authentication, ensuring secure access to GPU resources. Additionally, it offers a suite of tools for GPU management and SSH operations, making it a versatile solution for developers and researchers needing high-performance computing capabilities.
Features
- Seamless integration with Hyperbolic's GPU cloud for resource management.
- Support for SSH connections to GPU instances for executing workloads.
- User-friendly interface through Claude for Desktop integration.
- Secure access with Hyperbolic API token authentication.
- Comprehensive toolset for GPU and SSH management.
Tools
list-available-gpus
Lists all available GPUs on the Hyperbolic network.
rent-gpu-instance
Rents a GPU instance from a specific cluster.
terminate-gpu-instance
Terminates a GPU instance that you have rented.
list-user-instances
Lists all active GPU instances that you have rented.
get-cluster-details
Gets detailed information about a specific cluster.
ssh-connect
Establishes an SSH connection to a remote server.
remote-shell
Executes a command on the connected remote server.
ssh-status
Checks the current SSH connection status.
ssh-disconnect
Closes the active SSH connection.