paiml/paiml-mcp-agent-toolkit

<h1 align="center">PMAT</h1> <p align="center"> <img src="docs/images/pmat-logo.svg" alt="PMAT" width="500"> </p> <p align="center"> <strong>Zero-configuration AI context generation for any codebase</strong> </p> <div align="center">

Installation | Usage | Features | Examples | Documentation

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Table of Contents

• What is PMAT?
• Installation
• Usage
• Features
• Architecture

What is PMAT?

PMAT (Pragmatic Multi-language Agent Toolkit) provides everything needed to analyze code quality and generate AI-ready context:

• Context Generation - Deep analysis for Claude, GPT, and other LLMs
• Technical Debt Grading - A+ through F scoring with 6 orthogonal metrics
• Mutation Testing - Test suite quality validation (85%+ kill rate)
• Repository Scoring - Quantitative health assessment (0-289 scale, 11 categories)
• Git History RAG - Semantic search across commit history with RRF fusion
• Semantic Search - Natural language code discovery
• Compliance Governance - 30+ checks across code quality, best practices, and reproducibility
• Design by Contract - Toyota Way contract profiles with che