K8s GPU
NVIDIA GPU hardware introspection for Kubernetes clusters via MCP
What is K8s GPU?
K8s GPU is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to nvidia gpu hardware introspection for kubernetes clusters via mcp
NVIDIA GPU hardware introspection for Kubernetes clusters via MCP
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- NVIDIA GPU hardware introspection for Kubernetes clusters vi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx k8s-gpuConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about K8s GPU
What is K8s GPU?
K8s GPU is a Model Context Protocol (MCP) server that nvidia gpu hardware introspection for kubernetes clusters via mcp It connects AI assistants to external tools and data sources through a standardized interface.
How do I install K8s GPU?
Follow the installation instructions on the K8s GPU GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with K8s GPU?
K8s GPU works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is K8s GPU free to use?
Yes, K8s GPU is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
Explore all cloud services servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up K8s GPU in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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