paiml-mcp-agent-toolkit

Part of the PAIML Stack, following Toyota Way quality principles (Jidoka, Genchi Genbutsu, Kaizen).

Annotated Code Search

Every result includes TDG grade, Big-O complexity, git churn, code clones, pattern diversity, fault annotations, call graph, and syntax-highlighted source.

Installation

# Install from crates.io
cargo install pmat

# Or from source (latest)
git clone https://github.com/paiml/paiml-mcp-agent-toolkit
cd paiml-mcp-agent-toolkit && cargo install --path .

Usage

# Generate AI-ready context
pmat context --output context.md --format llm-optimized

# Analyze code complexity
pmat analyze complexity

# Grade technical debt (A+ through F)
pmat analyze tdg

# Score repository health
pmat repo-score .

# Run mutation testing
pmat mutate --target src/

# Start MCP server for Claude Code, Cline, etc.
pmat mcp

Features

Context Generation

Generate comprehensive context for AI assistants:

pmat context                           # Basic analysis
pmat context --format llm-optimized    # AI-optimized output
pmat context --include-tests           # Include test files

Technical Debt Grading (TDG)

Six orthogonal metrics for accurate quality assessment:

pmat analyze tdg                       # Project-wide grade
pmat analyze tdg --include-components  # Per-component breakdown
pmat tdg baseline create               # Create quality baseline
pmat tdg check-regression              # Detect quality degradation

Grading Scale:

• A+/A: Excellent quality, minimal debt
• B+/B: Good quality, manageable debt
• C+/C: Needs improvement
• D/F: Significant technical debt

Mutation Testing

Validate test suite effectiveness:

pmat mutate --target src/lib.rs        # Single file
pmat mutate --target src/ --threshold 85  # Quality gate
pmat mutate --failures-only            # CI optimization

Supported Languages: Rust, Python, TypeScript, JavaScript, Go, C/C++, C#, Lua, Lean, Java, Kotlin, Ruby, Swift, PHP, Bash, SQL, Scala, YAML, Markdown + MLOps model formats (GGUF, SafeTensors, APR)

Repository Health Scoring

Evidence-based quality metrics (0-289 scale, 11 categories):

pmat rust-project-score                # Fast mode (~3 min)
pmat rust-project-score --full         # Comprehensive (~10-15 min)
pmat repo-score . --deep               # Full git history

Workflow Prompts

Pre-configured AI prompts enforcing EXTREME TDD:

pmat prompt --list                     # Available prompts
pmat prompt code-coverage              # 85%+ coverage enforcement
pmat prompt debug                      # Five Whys analysis
pmat prompt quality-enforcement        # All quality gates

Git History RAG

Search git history by intent using TF-IDF semantic embeddings:

# Fuse git history into code search
pmat query "fix memory leak" -G

# Search with churn, clones, entropy, faults
pmat query "error handling" --churn --duplicates --entropy --faults

# Run the example
cargo run --example git_history_demo

Git Hooks

Automatic quality enforcement:

pmat hooks install                     # Install pre-commit hooks
pmat hooks install --tdg-enforcement   # With TDG quality gates
pmat hooks status                      # Check hook status

Compliance Governance (pmat comply)

30+ automated checks across code quality, best practices, and governance:

pmat comply check                      # Run all compliance checks
pmat comply check --strict             # Exit non-zero on failure
pmat comply check --format json        # Machine-readable output
pmat comply migrate                    # Update to latest version

Key Checks:

• CB-200: TDG Grade Gate — blocks on non-A functions (auto-rebuilds stale index)
• CB-304: Dead code percentage enforcement
• CB-400: Shell/Makefile quality via bashrs
• CB-500: Rust best practices (30+ patterns)
• CB-600: Lua best practices
• CB-900: Markdown link validation
• CB-1000: MLOps model quality

Provable-Contracts Enforcement (CB-1200..1210):

• CB-1208: Binding existence — verifies binding.yaml functions exist in src/, detects ghost bindings (L0-L3 enforcement levels)
• CB-1209: Contract trait enforcement — checks tests/contract_traits.rs for compiler-verified trait impls (13 kernel traits)
• CB-1210: Precondition quality — flags mass-generated boilerplate and missing postconditions

Configure via .pmat.yaml:

comply:
  thresholds:
    min_tdg_grade: "A"
    pv_lint_is_error: true        # CB-1201: FAIL on pv lint failure
    min_binding_existence: 95     # CB-1208: 95% binding verification
    require_all_traits: true      # CB-1209: 13/13 traits required
    min_kani_coverage: 20         # CB-1206: minimum Kani proof %

Infrastructure Score (pmat infra-score)

CI/CD quality scoring (0-100 + 10 bonus for provable-contracts):

pmat infra-score                       # Text output
pmat infra-score --format json         # Machine-readable
pmat infra-score -v --failures-only    # Show only failing checks

Categories: Workflow Architecture (25pts), Build Reliability (25pts), Quality Pipeline (20pts), Deployment & Release (15pts), Supply Chain (15pts), Provable Contracts bonus (10pts).

Document Search (pmat query --docs)

Search documentation files (Markdown, text, YAML) alongside code:

pmat query "authentication" --docs          # Code + docs results
pmat query "deployment" --docs-only         # Only documentation
pmat query "API endpoints" --no-docs        # Exclude docs (default)

Autonomous Kaizen (pmat kaizen)

Toyota Way continuous improvement — scan, auto-fix, commit:

pmat kaizen --dry-run                  # Scan only (no changes)
pmat kaizen                            # Apply safe auto-fixes
pmat kaizen --commit --push            # Fix, commit, and push
pmat kaizen --format json -o report.json  # CI/CD integration

# Cross-stack mode: scan all batuta stack crates in one invocation
pmat kaizen --cross-stack --dry-run    # Scan all crates
pmat kaizen --cross-stack --commit     # Fix and commit per-crate
pmat kaizen --cross-stack -f json      # Grouped JSON report

Function Extraction (pmat extract)

Extract function boundaries with metadata:

pmat extract src/lib.rs                # Extract functions from file
pmat extract --list src/               # List all functions with imports and visibility

Examples

Generate Context for AI

# For Claude Code
pmat context --output context.md --format llm-optimized

# With semantic search
pmat embed sync ./src
pmat semantic search "error handling patterns"

CI/CD Integration

# Add to your CI pipeline
steps:
  - uses: actions/checkout@v4
  - run: cargo install pmat
  - run: pmat analyze tdg --fail-on-violation --min-grade B
  - run: pmat mutate --target src/ --threshold 80

Quality Baseline Workflow

# 1. Create baseline
pmat tdg baseline create --output .pmat/baseline.json

# 2. Check for regressions
pmat tdg check-regression \
  --baseline .pmat/baseline.json \
  --max-score-drop 5.0 \
  --fail-on-regression

Architecture

pmat/
├── src/
│   ├── cli/          Command handlers and dispatchers
│   ├── services/