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PyTorch HUD MCP Server

by izaitsevfb
GitHub
Python
2
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具有 MCP 支持的 PyTorch HUD API

用于与 PyTorch HUD API 交互的 Python 库和 MCP 服务器，提供对 CI/CD 数据、作业日志和分析的访问。

概述

该项目提供了用于 PyTorch CI/CD 分析的工具，包括：

  • 工作流、作业和测试运行的数据访问
  • 大型 CI 日志的高效日志分析
  • ClickHouse 查询集成用于分析
  • 资源利用率指标

用途（针对人类）

# Install from GitHub repository pip install git+https://github.com/izaitsevfb/claude-pytorch-treehugger.git
claude mcp add hud pytorch-hud

发展

# Install dependencies (if not installing with pip) pip install -r requirements.txt # Start MCP server python -m pytorch_hud

主要特点

数据访问

  • get_commit_summary ：不含作业的基本提交信息
  • get_job_summary ：汇总作业状态计数
  • get_filtered_jobs ：按状态/工作流/名称过滤的作业
  • get_failure_details ：失败的作业，包含详细的失败信息
  • get_recent_commit_status ：包含作业统计信息的最近提交的状态

日志分析

  • download_log_to_file ：将日志下载到本地存储
  • extract_log_patterns ：查找错误、警告等。
  • extract_test_results ：解析测试执行结果
  • filter_log_sections ：提取特定的日志部分
  • search_logs ：跨多个日志搜索

发展

# Run tests python -m unittest discover test # Type checking mypy -p pytorch_hud -p test # Linting ruff check pytorch_hud/ test/

文档

执照

麻省理工学院

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

通过 MCP 界面提供对 PyTorch CI/CD 分析数据（包括工作流、作业、测试运行和日志分析）的访问。

  1. 概述
    1. 用途（针对人类）
      1. 发展
        1. 主要特点
          1. 数据访问
          2. 日志分析
        2. 发展
          1. 文档
            1. 执照

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