PyTorch HUD MCP Server
Provides access to PyTorch CI/CD analytics data including workflows, jobs, test runs, and log analysis through an MCP interface.
izaitsevfb
README
PyTorch HUD API with MCP Support
A Python library and MCP server for interacting with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
Overview
This project provides tools for PyTorch CI/CD analytics including:
- Data access for workflows, jobs, and test runs
- Efficient log analysis for large CI logs
- ClickHouse query integration for analytics
- Resource utilization metrics
Usage (for humans)
# Install from GitHub repository
pip install git+https://github.com/izaitsevfb/claude-pytorch-treehugger.git
claude mcp add hud pytorch-hud
Development
# Install dependencies (if not installing with pip)
pip install -r requirements.txt
# Start MCP server
python -m pytorch_hud
Key Features
Data Access
get_commit_summary: Basic commit info without jobsget_job_summary: Aggregated job status countsget_filtered_jobs: Jobs with filtering by status/workflow/nameget_failure_details: Failed jobs with detailed failure infoget_recent_commit_status: Status for recent commits with job statistics
Log Analysis
download_log_to_file: Download logs to local storageextract_log_patterns: Find errors, warnings, etc.extract_test_results: Parse test execution resultsfilter_log_sections: Extract specific log sectionssearch_logs: Search across multiple logs
Development
# Run tests
python -m unittest discover test
# Type checking
mypy -p pytorch_hud -p test
# Linting
ruff check pytorch_hud/ test/
Documentation
- CLAUDE.md: Detailed usage, code style, and implementation notes
- mcp-guide.md: General MCP protocol information
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
mixpanel
Connect to your Mixpanel data. Query events, retention, and funnel data from Mixpanel analytics.
Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.
Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
mcp-server-datadog
The MCP server provides an interface to the Datadog API, enabling seamless management of incidents, monitoring, logs, dashboards, metrics, traces, and hosts. Its extensible design allows easy integration of additional Datadog APIs for future expansions.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.