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paiml-mcp-agent-toolkit
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paiml-mcp-agent-toolkit

Active·★ 167·MIT·Updated 2026-10-22

PMAT (Pragmatic Multi-language Agent Toolkit) is a comprehensive tool designed to analyze code quality, grade technical debt, and generate AI-ready context for various LLMs. It supports over 17 programming languages and offers features like mutation testing, repository scoring, and semantic search across git history.

#AI Context Generation#Code Analysis#Technical Debt#Mutation Testing#Semantic Search#Multi-language
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Guides
#CI/CD Integration
#Rust
$ Install
$ cargo install pmat
↗ Visit site★ GitHub
01

Features

01AI-ready context generation for LLMs
02Technical debt grading (A+ through F) with 6 orthogonal metrics
03Mutation testing to validate test suite quality
04Semantic search and RAG across Git history
05Support for 17+ programming languages
02

Compatibility

Rust
Runtime & Core Language
Verified via docs
Multi-language
Analysis Target Languages
Verified via docs
CI/CD Platforms
Integration
Verified via docs
Linux
Operating System
Verified via docs
03

Quick start

1
$ cargo install pmat
04

Use cases

↳Generate AI-ready context for large language models
↳Analyze and grade code quality and technical debt
↳Validate test suite effectiveness using mutation testing
↳Integrate quality gates into CI/CD pipelines
↳Enforce code quality standards with pre-commit Git hooks
05

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⚡Top VS:
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Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic

167MIT
Last commit1d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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