Modal Sandbox

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This Model Context Protocol (MCP) server empowers large language models and AI assistants to efficiently create, manage, and interact with isolated, GPU-enabled compute environments in the cloud. It offers a comprehensive suite of tools for launching and terminating sandboxes, installing dependencies, configuring resources, executing commands, and managing files, making it ideal for scalable AI development and experimentation.

Características Principales

• Advanced configuration for Python versions, package management, and resource allocation
• Extensive file operations including upload, download, read, write, and directory management
• Secure environment management with secrets injection and persistent volume mounting
• Remote command execution with output capture, timeout control, and performance metrics
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• Comprehensive cloud-based sandbox management with GPU support (T4, A100, H100, etc.)

Casos de Uso

• Enabling LLMs and AI assistants to programmatically interact with isolated cloud compute environments
• Providing GPU-accelerated sandboxes for machine learning training, inference, and data processing
• Automating the provisioning and management of temporary, customizable cloud environments for AI development and testing