PAIML MCP Agent Toolkit

What is PAIML MCP Agent Toolkit?

PAIML MCP Agent Toolkit (PMAT) is a zero‑configuration tool for analyzing code quality and generating AI‑ready context. It integrates with MCP (Model Context Protocol) to expose 20 tools for Claude Code, Cline, and other AI agents, and follows Toyota Way quality principles. It is aimed at developers and autonomous agents who need deep code insight and quality enforcement.

How to use PAIML MCP Agent Toolkit?

Install via cargo install pmat (Rust toolchain, MSRV 1.91). Run commands like pmat context for LLM‑optimized context, pmat analyze tdg for technical debt grading, pmat verify for pre‑commit verification, or pmat mutate for mutation testing. To start the MCP server over stdio, use MCP_VERSION=2024-11-05 pmat.

Key features of PAIML MCP Agent Toolkit

• Context generation optimized for LLM consumption.
• Technical debt grading (A+ through F) with six metrics.
• Mutation testing (85%+ kill rate threshold).
• Git history RAG with semantic search.
• 20 MCP tools for Claude Code and Cline.
• Compliance governance with 30+ automated checks.

Use cases of PAIML MCP Agent Toolkit

• Generate AI‑ready context before starting a coding task with Claude Code.
• Enforce quality gates in CI/CD pipelines to prevent regressions.
• Detect technical debt trends and block merges when quality drops.
• Run mutation testing to validate test suite effectiveness.
• Automate code quality improvement via autonomous kaizen scans and fixes.

FAQ from PAIML MCP Agent Toolkit

What are the runtime requirements?

Rust toolchain version 1.91 or newer. Installation via cargo install pmat; macOS users may need to install Rust via Homebrew first.

How do I start the MCP server?

Run MCP_VERSION=2024-11-05 pmat in your terminal. This starts the MCP server over stdio, making all 20 tools available to compatible clients like Claude Code and Cline.

What languages are supported for analysis?

Over 20 languages including Rust, Python, TypeScript, JavaScript, Go, Java, C/C++, C#, Lua, Lean, Ruby, Swift, PHP, Bash, SQL, Scala, YAML, and Markdown, plus MLOps model formats (GGUF, SafeTensors, APR).

Is this tool free and open‑source?

Yes. It is licensed under the MIT license and the source code is publicly available on GitHub.

What is the technical debt grading scale?

A+/A (excellent, minimal debt), B+/B (good, manageable debt), C+/C (needs improvement), D/F (significant technical debt).