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✨ Features: - 50+ development tools across 13 specialized categories - ⚡ Sneller Analytics: High-performance vectorized SQL (TB/s throughput) - 🎬 Asciinema Integration: Terminal recording and sharing - 🧠 AI-Powered Recommendations: Intelligent tool suggestions - 🔀 Advanced Git Integration: Smart operations with AI suggestions - 📁 Enhanced File Operations: Monitoring, bulk ops, backups - 🔍 Semantic Code Search: AST-based intelligent analysis - 🏗️ Development Workflow: Testing, linting, formatting - 🌐 Network & API Tools: HTTP client, mock servers - 📦 Archive & Compression: Multi-format operations - 🔬 Process Tracing: System call monitoring - 🌍 Environment Management: Virtual envs, dependencies 🎯 Ready for production with comprehensive documentation and MCP Inspector support!
4.0 KiB
4.0 KiB
✅ COMPLETED: Anytime a file listing is returned, set a flag on a file or directory if it's in a git repository
- Implemented
_detect_git_repository()
method for robust git detection - Enhanced
file_list_directory_tree
with git repository flags - Added
file_enhanced_list_directory
with automatic git repository detection - Enhanced
file_tre_directory_tree
with git repository flags - Added comprehensive git info: repository root, current branch, git type
- Handles edge cases: worktrees, submodules, bare repositories, detached HEAD
- All file listing tools now automatically flag git repository status
✅ COMPLETED: Add "git grep" tool, with annotations
- Implemented comprehensive
git_grep
tool with intelligent annotations - Support for multiple search types: basic, regex, fixed-string, extended-regex
- Advanced filtering: file patterns, exclude patterns, context lines, case sensitivity
- Intelligent annotations: file metadata, match analysis, context hints, optimization suggestions
- Performance metrics and search coverage assessment
- Support for untracked files and specific git refs
- Cross-platform compatibility with proper timeout handling
- Comprehensive error handling and logging integration
✅ COMPLETED: Add "sneller" with hints to how fast it is and how to use it.
- Implemented comprehensive SnellerAnalytics class with 3 main tools
sneller_query
: Execute lightning-fast vectorized SQL queries (TBs/second performance)sneller_optimize
: Optimize SQL queries for maximum Sneller performance with AVX-512 hintssneller_setup
: Set up and configure Sneller for optimal performance- Extensive performance hints: 1GB/s/core throughput, AVX-512 vectorization, compression optimization
- Educational simulation mode when Sneller not available locally
- Hardware requirements and optimization guidance for maximum speed
- Integration with bucketed compression and schema-less JSON processing
- Real-time performance metrics and throughput calculations
✅ COMPLETED: Asciinema - Complete terminal recording and auditing system
asciinema_record
: Capture terminal sessions with metadata for auditingasciinema_search
: Search recordings with comprehensive filtering (date, duration, command, visibility)asciinema_playback
: Generate playback URLs and embedding code with customization optionsasciinema_auth
: Authenticate with asciinema.org and manage install ID with markdown responseasciinema_upload
: Upload recordings to asciinema.org or custom servers with privacy controlsasciinema_config
: Configure upload destinations and privacy settings- Privacy protection: Confirmation required for public uploads with 7-day deletion warning
- Recording database: In-memory storage with comprehensive metadata and search capabilities
- Educational simulation: Works without asciinema installed for demonstration purposes
- Comprehensive markdown generation for easy sharing and documentation
✅ COMPLETED: Add "completion" - Intelligent tool recommendation system
ai_recommend_tools
: AI-powered tool recommendations based on natural language task descriptionsai_explain_tool
: Comprehensive tool explanations with examples and best practicesai_suggest_workflow
: Complete multi-step workflow generation for complex tasks- Context-aware analysis: Working directory, git repository, project type detection
- Performance-optimized recommendations: Speed/comprehensive/automation/educational profiles
- Intelligent task analysis: Primary intent detection, complexity assessment, keyword matching
- Workflow automation: Semi-automated and fully-automated script generation
- Success criteria and monitoring suggestions for complex workflows
- Tool combination suggestions and alternative approach recommendations
- Confidence scoring and comprehensive explanations for all recommendations
resume using desktop commander mcp to work on /home/rpm/claude/enhanced-mcp-tools
- use uv to run python commands*