claude-pytorch-treehugger
支持MCP的PyTorch CI/CD分析工具. claude-pytorch-treehugger is a Model Context Protocol (MCP) server maintained by izaitsevfb. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 10 tools, including get_commit_summary, get_job_summary, get_filtered_jobs, get_failure_details, get_recent_commit_status, download_log_to_file, extract_log_patterns and extract_test_results, that an agent can call directly. It is categorized under AI/Analytics and Tool/Python.
什么是MCP
该MCP提供了一个Python库和服务器，通过HUD API与PyTorch的CI/CD数据进行交互，支持ClickHouse集成，可访问工作流、作业日志和分析数据。
如何使用MCP
通过pip安装(pip install git+https://github.com/izaitsevfb/claude-pytorch-treehugger.git)，运行python -m pytorch_hud启动MCP服务器。使用claude mcp add hud pytorch-hud等CLI命令进行连接。
MCP的用途
分析PyTorch CI/CD流水线、提取日志模式、监控测试结果、追踪资源利用率，以及对大规模CI系统进行高效的日志分析。
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the claude-pytorch-treehugger MCP server?
claude-pytorch-treehugger is a Model Context Protocol server from izaitsevfb. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect claude-pytorch-treehugger to my AI client?
Add claude-pytorch-treehugger to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does claude-pytorch-treehugger provide?
claude-pytorch-treehugger provides 10 tools: get_commit_summary, get_job_summary, get_filtered_jobs, get_failure_details, get_recent_commit_status, download_log_to_file, extract_log_patterns, extract_test_results, filter_log_sections and search_logs.
Is claude-pytorch-treehugger free to use?
claude-pytorch-treehugger is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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