Provides ClickHouse query integration for analytics of PyTorch CI/CD data
Provides access to PyTorch CI/CD data, job logs, and analytics
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@PyTorch HUD MCP Server show me recent failed jobs"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Python library and MCP server for interacting with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
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
Related MCP server: Swarmia MCP Server
claude mcp add hud -- $(which uvx) --from "git+https://github.com/izaitsevfb/claude-pytorch-treehugger.git" pytorch-hud# Install dependencies (if not installing with pip)
pip install -r requirements.txt
# Start MCP server
python -m pytorch_hudget_commit_summary: Basic commit info without jobs
get_job_summary: Aggregated job status counts
get_filtered_jobs: Jobs with filtering by status/workflow/name
get_failure_details: Failed jobs with detailed failure info
get_recent_commit_status: Status for recent commits with job statistics
download_log_to_file: Download logs to local storage
extract_log_patterns: Find errors, warnings, etc.
extract_test_results: Parse test execution results
filter_log_sections: Extract specific log sections
search_logs: Search across multiple logs
# Run tests
python -m unittest discover test
# Type checking
mypy -p pytorch_hud -p test
# Linting
ruff check pytorch_hud/ test/CLAUDE.md: Detailed usage, code style, and implementation notes
mcp-guide.md: General MCP protocol information
MIT
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