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AI FileSystem MCP v2.0.0 - Production Release

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@proofmath-owner proofmath-owner released this 26 Jun 11:27
· 14 commits to main since this release
v2.0.0
b823e66

🚀 AI FileSystem MCP v2.0.0 - Production Release

✨ Major Highlights

This is the official production release of AI FileSystem MCP with comprehensive file system automation capabilities.

🏗️ Complete Architecture Overhaul

  • Command Pattern Implementation - All 39 commands follow consistent interface
  • Service Container Pattern - Dependency injection for better testability
  • Layered Architecture - Clear separation of concerns

📦 39 MCP Commands Across 7 Categories

  • File Operations (8): read_file, write_file, read_files, update_file, move_file, copy_file, delete_file, get_file_metadata
  • Directory Operations (3): create_directory, list_directory, remove_directory
  • Search Operations (4): search_files, search_content, fuzzy_search, semantic_search
  • Git Operations (10): git_status, git_add, git_commit, git_push, git_pull, git_branch, git_log, git_diff, git_merge, git_reset
  • Code Analysis (4): analyze_code, suggest_refactoring, modify_code, format_code
  • Security Operations (5): encrypt_file, decrypt_file, scan_secrets, security_audit, execute_shell
  • Utility Operations (5): diff_files, compress_files, extract_archive, watch_files, get_system_info

🔒 Enterprise-Grade Security

  • Multi-tier Security Model with strict/moderate/permissive levels
  • Shell Execution Security with command validation and restrictions
  • Secret Scanning with automated credential detection
  • File Encryption with AES-256 support
  • Comprehensive Audit Logging

🚀 Production-Ready Infrastructure

  • Complete CI/CD Pipeline with 11-job workflow
  • Docker Support with multi-stage builds and security hardening
  • Kubernetes Manifests for production deployment
  • Monitoring Stack with Prometheus + Grafana dashboards
  • Performance Testing with benchmarking and regression detection

📚 Comprehensive Documentation

  • User Guides with step-by-step tutorials
  • API Reference with complete command documentation
  • Interactive Demo with live command examples
  • Architecture Guide for developers
  • Security Documentation with best practices

🧪 Extensive Testing Suite

  • Unit Tests for individual components
  • Integration Tests for end-to-end workflows
  • E2E Tests for real-world scenarios
  • Performance Tests with regression detection
  • 80%+ Code Coverage with comprehensive test matrix

📦 Installation

NPM Global Installation

npm install -g ai-filesystem-mcp@2.0.0

Docker

docker run -p 3000:3000 ghcr.io/proofmath-owner/ai-filesystem-mcp:2.0.0

MCP Server Integration

# Start the MCP server
ai-filesystem-mcp

# Test with MCP Inspector
npx @modelcontextprotocol/inspector ai-filesystem-mcp

🔧 Quick Start

# Initialize a new project
mkdir my-project && cd my-project

# Start MCP server (in background)
ai-filesystem-mcp &

# Connect with Claude or other MCP client
# The server provides 39 commands for file system automation

📖 Documentation

🔒 Security

This release includes comprehensive security scanning and follows security best practices:

  • Multi-level shell execution security
  • Automated secret detection
  • File encryption capabilities
  • Comprehensive audit logging
  • Regular dependency security audits

See SECURITY.md for complete security documentation.

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Community Channels

📊 Performance & Metrics

  • Commands: 39 available across 7 categories
  • Test Coverage: 80%+ with comprehensive test suite
  • Security Scanning: Automated vulnerability detection
  • Performance: Optimized for production workloads
  • Documentation: Complete user and developer guides

🎯 What's Next

  • Enhanced performance optimization (Phase 3)
  • Additional language support
  • Plugin system for custom commands
  • REST API interface
  • VS Code extension (community project)

Full Changelog: https://github.com/proofmath-owner/ai-filesystem-mcp/blob/v2.0.0/CHANGELOG.md

🚀 AI FileSystem MCP is now production-ready and available for enterprise use!

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