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Claude Pytorch Treehugger

PyTorch CI/CD data analysis tool library and MCP service
Developer toolsMonitoring#CI/CD analysis#Log processing#PyTorch tools#MCP service.Python
2.5 points
8.2K
Open Site

Overview

Content Details

Alternatives

What is the PyTorch HUD MCP Server?

The PyTorch HUD MCP Server is a tool for accessing PyTorch Continuous Integration/Continuous Delivery (CI/CD) data. It provides efficient analysis of workflows, tasks, test runs, and logs, and supports resource utilization monitoring and ClickHouse database queries.

How to use the PyTorch HUD MCP Server?

After installation, you can add the service via the command line and start the server. Subsequently, you can easily access CI/CD data, analyze logs, and perform advanced queries.

Use Cases

Suitable for developers and operations teams who need to quickly obtain PyTorch CI/CD status, optimize resource usage, and conduct large-scale log analysis.

Main Features

Data Access
Provides query functions for detailed information on commits, tasks, and test runs.
Log Analysis
Supports functions such as downloading log files, extracting patterns, and parsing test results.
Resource Utilization Monitoring
Tracks the usage of resources such as CPU and memory in real-time.
ClickHouse Integration
Performs complex data analysis queries through ClickHouse.
Advantages
Efficient access to PyTorch CI/CD data
Powerful log analysis capabilities
Supports multiple query interfaces
Real-time resource monitoring
Limitations
Requires a certain foundation in Python
Depends on an external database (e.g., ClickHouse)

How to Use

Install the PyTorch HUD MCP Server
First, install the PyTorch HUD MCP Server via pip.
Add the service to MCP
Use the claude command to add PyTorch HUD as an available service.
Start the server
Run the pytorch_hud module to start the MCP server.

Usage Examples

Query the status of recent commits
Get the CI/CD status of recent commits and their task statistics.
Download task logs
Save the logs of a specific task locally.

Frequently Asked Questions

How to install the PyTorch HUD MCP Server?
Does it support custom queries?
What pre - conditions are required?

Related Resources

PyTorch HUD GitHub Repository
Official code repository and documentation.
ClickHouse Official Documentation
Guide for using the ClickHouse database.
CLAUDE Protocol Introduction
Detailed introduction to the CLAUDE protocol.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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