Initiate GPU instance operations by specifying the instance ID to start using the Novita MCP Server. Ideal for managing AI platform resources efficiently.
Retrieve and filter GPU instances on Novita MCP Server by name, status, or product. Manage instance operations with customizable page size and number for efficient resource monitoring.
Stop a GPU instance on the Novita MCP Server by specifying its instance ID. Use this tool to manage GPU resources effectively and halt operations when needed.
Deploy GPU instances on Novita MCP Server by specifying name, product ID, GPU count, root filesystem size, and Docker image URL. Configure ports, environment variables, and network storage mounts to customize the instance for AI and compute workloads.
An MCP server that provides programmatic access to the GNU Debugger (GDB), enabling AI models to interact with GDB through natural language for debugging tasks.
A dynamic MCP server implementation that automatically loads tools, resources, and prompts from their respective directories, allowing for easy extension and configuration.