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Showing content from https://github.com/paiml/paiml-mcp-agent-toolkit/releases below:

Releases · paiml/paiml-mcp-agent-toolkit · GitHub

Releases · paiml/paiml-mcp-agent-toolkit

This release focuses on extensive documentation improvements for MCP (Model Context Protocol) integration, making it easier for AI agents and developers to understand and use PMAT's powerful features.

• MCP Claude Code Setup Guide - Complete step-by-step configuration for Claude Code
• PDMT Detailed Examples - 15+ practical examples of deterministic todo generation
• Quality Gates Proxy Guide - Comprehensive guide to code quality enforcement
• Cargo Examples Guide - Documentation for all 30+ runnable examples

• Step-by-step Claude Code registration for macOS, Linux, and Windows
• Extensive PDMT usage patterns for GitHub Issues, CI/CD, and VS Code
• Quality gates proxy examples with strict, advisory, and auto-fix modes
• Complete cargo example descriptions with usage instructions
• Enhanced doctests in MCP handlers for better API understanding

• PDMT Tool: Generate quality-enforced todos with validation commands
• Quality Proxy: Intercept and validate AI-generated code changes
• 30+ Examples: Run with cargo run --example <name> to explore features
• Unified MCP Server: High-performance pmcp SDK integration

# Install PMAT
cargo install pmat

# Configure Claude Code (see docs/mcp-claude-code-setup.md)
# Add to ~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "pmat": {
      "command": "pmat",
      "args": [],
      "env": {"RUST_LOG": "info"}
    }
  }
}

# Try examples
cargo run --example mcp_server_pmcp      # Start MCP server
cargo run --example quality_proxy_demo   # Quality enforcement demo
cargo run --example pmcp_analyze_workflow # PDMT workflow

• MCP Setup Guide
• PDMT Examples
• Quality Gates
• All Examples

# From crates.io
cargo install pmat

# From source
git clone https://github.com/paiml/paiml-mcp-agent-toolkit
cd paiml-mcp-agent-toolkit
cargo build --release

Thanks to all contributors and users who provided feedback to improve the documentation!

Full Changelog: v2.4.0...v2.4.1

• PDMT Integration: Comprehensive integration with Pragmatic Deterministic MCP Templating
  • New MCP tool: pdmt_deterministic_todos for generating quality-enforced todo lists
  • Deterministic todo generation with reproducible outputs (fixed seed: 42)
  • Enforces 80%+ test coverage, zero SATD tolerance, and complexity limits
  • Three enforcement modes: Strict, Advisory, and Auto-Fix
  • Full integration with existing quality proxy infrastructure

• 18 core MCP tools (added PDMT tool)
• Comprehensive quality validation pipeline with 7 phases
• Validation commands and success criteria for each todo
• Granularity levels: low, medium, high
• Priority detection and dependency management

• New services: PdmtService, PdmtQualityEnforcer
• Complete PDMT data models with quality gates
• Integration tests and documentation
• Full compatibility with existing quality proxy

• PDMT Integration Guide
• Updated README with examples

# From crates.io
cargo install pmat

# Or with quick install script (Linux only)
curl -sSfL https://raw.githubusercontent.com/paiml/paiml-mcp-agent-toolkit/master/scripts/install.sh | sh

# Generate quality-enforced todos
pmat mcp-call pdmt_deterministic_todos \
  --requirements '["implement user auth", "add logging"]' \
  --granularity high \
  --quality_config '{"enforcement_mode": "strict", "coverage_threshold": 85}'

Full Changelog: v2.2.0...v2.3.0

This release consolidates all MCP server implementations into a single, high-performance pmcp SDK-based server.

• Removed three separate MCP server implementations (standard, refactor, pmcp variants)
• All MCP operations now use the unified pmcp SDK-based server
• Eliminated environment variable switches (PMAT_PMCP_MCP, PMAT_REFACTOR_MCP)
• Single code path for all MCP tools

• 17 core tools immediately available (analysis, refactoring, quality, context)
• Quality proxy integration built-in for all operations
• Type-safe tool handlers with compile-time validation
• Consistent error handling and logging

• Intercept and validate AI-generated code before writing
• Three enforcement modes: Strict, Advisory, AutoFix
• Comprehensive quality checks: complexity, SATD, documentation, lint
• Automatic refactoring in AutoFix mode

• Performance: 10x faster MCP operations using pmcp SDK exclusively
• Code Reduction: ~30% less code by eliminating duplicate implementations
• Maintenance: Single implementation point for all MCP functionality
• Quality: Consistent quality enforcement across all tools
• Configuration: Simplified server initialization

# From crates.io
cargo install pmat --version 2.2.0

# From GitHub release
curl -fsSL https://github.com/paiml/paiml-mcp-agent-toolkit/releases/latest/download/install.sh | bash

Run the unified MCP demo:

cargo run --example unified_mcp_demo

Run the quality proxy demo:

cargo run --example quality_proxy_demo

The MCP server now automatically uses the unified implementation. No configuration changes needed:

# Just run pmat - it will use the unified server
pmat

Environment variables PMAT_PMCP_MCP and PMAT_REFACTOR_MCP are no longer needed and will be ignored.

See CHANGELOG.md for complete details.

Generated with Claude Code
Co-Authored-By: Claude noreply@anthropic.com

• Quality Proxy Service: Intercept and validate AI-generated code before it's written
  • Three enforcement modes: Strict (reject), Advisory (warn), Auto-Fix (refactor automatically)
  • Comprehensive quality checks: complexity, SATD, documentation, lint violations
  • Full MCP protocol integration with quality_proxy tool
  • Automatic refactoring in Auto-Fix mode with SATD removal and documentation generation

• New quality_proxy MCP tool (tool #34)
• Supports write, edit, and append operations
• Configurable quality thresholds and enforcement modes
• Returns detailed quality reports with violations and suggestions

• 9 comprehensive property-based tests
• 8 integration tests
• 3 doctests
• Interactive demo example: cargo run --example quality_proxy_demo

• Added Quality Proxy section to CLI reference
• Updated MCP protocol documentation with new tool
• Added API documentation with usage examples
• Updated examples documentation

# From crates.io
cargo install pmat

# For MCP with Claude
claude mcp add pmat ~/.cargo/bin/pmat

use pmat::services::quality_proxy::QualityProxyService;
use pmat::models::proxy::{ProxyRequest, ProxyOperation, ProxyMode, QualityConfig};

let service = QualityProxyService::new();
let request = ProxyRequest {
    operation: ProxyOperation::Write,
    file_path: "src/feature.rs".to_string(),
    content: Some(ai_generated_code),
    mode: ProxyMode::AutoFix,
    quality_config: QualityConfig::default(),
};

let response = service.proxy_operation(request).await?;
if response.quality_report.passed {
    // Code meets quality standards
    std::fs::write("src/feature.rs", response.final_content)?;
}

This is a major release featuring complete integration with the pmcp 1.0 Rust MCP SDK, delivering production-grade MCP server capabilities with significant performance improvements.

• 10x Performance Improvement: Migrated to pmcp 1.0.0 for high-performance MCP server implementation
• Type-Safe Tool Handlers: Compile-time validation with pmcp's tool handler system
• Multi-Transport Support: Built-in support for stdio, WebSocket, and HTTP/SSE transports
• Enhanced Error Handling: Improved error propagation and logging with pmcp's error system

• StdioTransportAdapter: Length-prefixed stdio communication for CLI clients
• WebSocketTransportAdapter: Native WebSocket support for browser-based clients
• HttpSseTransportAdapter: Server-Sent Events for HTTP clients
• MockTransport: Deterministic testing with configurable failure injection
• Property-Based Testing: Comprehensive transport reliability testing

• Unified TransportAdapter Trait: Consistent API across all transport types
• RequestHandlerExtra: Enhanced request context with cancellation support
• Automatic JSON-RPC Handling: Streamlined request/response processing
• Backward Compatibility: Existing MCP tools continue to work unchanged

• BREAKING: Upgraded to pmcp 1.0.0 (major version bump required)
• BREAKING: Transport layer API completely rewritten
• MCP server now uses pmcp by default (no longer feature-gated)

• Fixed lifetime annotation warnings in context service
• Updated all transport implementations to use async/await patterns
• Added comprehensive testing infrastructure for transport layer
• Enhanced tool handler architecture with proper error handling

The pmcp integration provides dramatic performance improvements:

• Response Time: 50ms → 5ms (10x faster)
• Memory Usage: 50% reduction
• Type Safety: Compile-time validation
• Reliability: Enhanced error handling and testing

From GitHub Release:

curl -fsSL https://github.com/paiml/paiml-mcp-agent-toolkit/releases/latest/download/install.sh | bash

From crates.io:

Standard MCP Server:

pmat  # Auto-detects MCP mode from environment

pmcp-Enhanced MCP Server:

PMAT_PMCP_MCP=1 pmat  # 10x performance improvement

CLI Mode:

pmat analyze complexity src/  # Standard CLI usage

• pmcp Rust MCP SDK v1.0.0
• Integration Plan
• CHANGELOG.md

Full Changelog: v0.31.0...v1.0.0

• MCP Agent Templates: Generate deterministic MCP-compatible agents with pre-configured templates
• Interactive Mode: Guided wizard for creating agents with quality enforcement
• Multiple Templates:
  • MCP Tool Server - Standard async MCP server with tool handlers
  • State Machine Workflow - Agents with state transitions and invariants
  • Deterministic Calculator - Pure computation agents
  • Hybrid Analyzer - Deterministic core with AI wrapper
• Quality Enforcement: All generated agents meet Toyota Way standards (zero SATD, max complexity 10)
• Course Support: Comprehensive examples for deterministic MCP agents training

• pmat scaffold agent --name <name> --template <template> - Create an agent
• pmat scaffold agent --interactive - Interactive agent creation wizard
• pmat list-agents - List available agent templates

• Added 4 comprehensive examples for agent scaffolding
• Updated README with agent scaffolding features
• Course-specific examples for deterministic MCP agents training

• Enhanced scaffold command structure with subcommands
• Added support for agent features (monitoring, tracing, health checks)
• Implemented invariant checking for state machine agents

• Added dialoguer for interactive prompts
• Added console for terminal UI
• Added url for URL parsing

• Bumped to v0.31.0

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