PyTorch HUD MCP Server
Provides access to PyTorch CI/CD analytics data including workflows, jobs, test runs, and log analysis through an MCP interface.
What is PyTorch HUD MCP Server?
PyTorch HUD MCP Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides access to pytorch ci/cd analytics data including workflows, jobs, test runs, and log analysis through an mcp interface.
Provides access to PyTorch CI/CD analytics data including workflows, jobs, test runs, and log analysis through an MCP interface.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides access to PyTorch CI/CD analytics data including wo
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx pytorch-hud-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about PyTorch HUD MCP Server
What is PyTorch HUD MCP Server?
PyTorch HUD MCP Server is a Model Context Protocol (MCP) server that provides access to pytorch ci/cd analytics data including workflows, jobs, test runs, and log analysis through an mcp interface. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install PyTorch HUD MCP Server?
Follow the installation instructions on the PyTorch HUD MCP Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with PyTorch HUD MCP Server?
PyTorch HUD MCP Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is PyTorch HUD MCP Server free to use?
Yes, PyTorch HUD MCP Server is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Analytics MCP Servers
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Set Up PyTorch HUD MCP Server 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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