An ML experiment contract system with MCP server integration that enables running, validating, and tracing machine learning experiments across multiple frameworks. Provides 14 tools for experiment management, validation, and lineage tracking.
playidea-lab/pcq is an agentoperable ML experiment contract framework that standardizes and manages machine learning experiments through YAML and JSON contract specifications. It exposes 14 MCP tools including resolve, inspect, run, validate, describe, compare, and lineage functions for comprehensive experiment orchestration across PyTorch, Hugging Face Trainer, Lightning, scikit-learn, and XGBoost frameworks.
Install via GitHub repository with Python environment setup. Clone the repository, install dependencies, configure your experiment contracts in cq.yaml format, and integrate with MCP server for agent-based access. Supports direct framework integration for PyTorch, Hugging Face, Lightning, and scikit-learn projects.
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