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PyTorch HUD MCP Server

by izaitsevfb
GitHub
Python
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Integrations

  • Provides ClickHouse query integration for analytics of PyTorch CI/CD data

  • Provides access to PyTorch CI/CD data, job logs, and analytics

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

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

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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