enhanced-mcp-tools/TODO.md

📋 Enhanced MCP Tools - TODO & Implementation Roadmap

🎯 Project Status Overview

✅ COMPLETED - SACRED TRUST SAFETY FRAMEWORK

• Package-level safety notices with SACRED TRUST language ✅
• Server-level LLM safety protocols with specific refusal scenarios ✅
• Tool-level destructive operation warnings (🔴 DESTRUCTIVE markers) ✅
• Visual safety system (🔴🛡️🚨) throughout codebase ✅
• Emergency logging infrastructure with proper escalation ✅
• Default-safe operations (dry_run=True for destructive tools) ✅
• Complete safety validation - all SACRED_TRUST_SAFETY.md requirements met ✅

✅ COMPLETED - PROJECT INFRASTRUCTURE

• Modern build system (pyproject.toml + uv) ✅
• Comprehensive documentation (8 major guide files) ✅
• Test suite with enhanced coverage ✅
• Examples and demos ✅
• Git repository cleaned and committed ✅

✅ COMPLETED - FULLY IMPLEMENTED TOOLS

• File Operations (file_operations.py) - bulk_rename, file_backup, watch_files ✅
• Archive Compression (archive_compression.py) - create/extract/list archives ✅
• Asciinema Integration (asciinema_integration.py) - terminal recording ✅
• Sneller Analytics (sneller_analytics.py) - high-performance SQL analytics ✅
• Intelligent Completion (intelligent_completion.py) - tool recommendations ✅

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🚨 CRITICAL: 19 NotImplementedError Methods Found

Status: These tools are defined with proper safety frameworks but lack implementations.

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🔥 HIGH PRIORITY IMPLEMENTATIONS (Immediate Business Value)

1. Git Integration (git_integration.py)

❌ git_commit_prepare() - Line 812

• Purpose: Prepare git commit with AI-suggested messages
• Impact: 🔥 High - Essential for git workflows
• Implementation: Use git log/diff analysis to suggest commit messages
• Effort: Medium (2-3 hours)

2. Advanced Search & Analysis (workflow_tools.py)

❌ search_and_replace_batch() - Line 32
❌ analyze_codebase() - Line 35  
❌ find_duplicates() - Line 142

• Purpose: Batch code operations and codebase analysis
• Impact: 🔥 High - Critical for refactoring and code quality
• Implementation: Use AST parsing, regex, and file system operations
• Effort: High (6-8 hours total)

3. Development Workflow (workflow_tools.py)

❌ run_tests() - Line 159
❌ lint_code() - Line 169  
❌ format_code() - Line 181

• Purpose: Automated code quality and testing
• Impact: 🔥 High - Essential for CI/CD workflows
• Implementation: Shell out to pytest, flake8, black, prettier
• Effort: Medium (4-5 hours total)

4. Network API Tools (workflow_tools.py)

❌ http_request() - Line 197
❌ api_mock_server() - Line 204

• Purpose: API testing and mocking capabilities
• Impact: 🔥 High - Essential for API development
• Implementation: Use httpx/requests + FastAPI for mock server
• Effort: Medium (3-4 hours total)

5. Utility Tools (workflow_tools.py)

❌ dependency_check() - Line 366

• Purpose: Analyze and update project dependencies
• Impact: 🔥 High - Critical for security and maintenance
• Implementation: Parse pyproject.toml, check against vulnerability databases
• Effort: Medium (3-4 hours)

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⚡ MEDIUM PRIORITY IMPLEMENTATIONS (Good Developer Experience)

6. Environment & Process Management (workflow_tools.py)

❌ environment_info() - Line 265
❌ process_tree() - Line 272
❌ manage_virtual_env() - Line 282

• Purpose: System information and environment management
• Impact: 🟡 Medium - Helpful for debugging and setup
• Implementation: Use psutil, subprocess, platform modules
• Effort: Medium (4-5 hours total)

7. Enhanced Existing Tools (workflow_tools.py)

❌ execute_command_enhanced() - Line 302
❌ search_code_enhanced() - Line 317
❌ edit_block_enhanced() - Line 330

• Purpose: Advanced versions of existing tools
• Impact: 🟡 Medium - Improved UX for power users
• Implementation: Extend existing FastMCP tools with advanced features
• Effort: Medium (4-5 hours total)

8. Documentation Generation (workflow_tools.py)

❌ generate_documentation() - Line 344
❌ project_template() - Line 356

• Purpose: Automated documentation and project scaffolding
• Impact: 🟡 Medium - Helpful for project maintenance
• Implementation: Use AST parsing for docstrings, template system
• Effort: High (5-6 hours total)

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🔬 LOW PRIORITY IMPLEMENTATIONS (Advanced/Specialized)

9. Diff & Patch Operations (diff_patch.py)

❌ generate_diff() - Line 24
❌ apply_patch() - Line 35
❌ create_patch_file() - Line 44

• Purpose: Advanced patch management and diff generation
• Impact: 🟢 Low - Specialized use cases
• Implementation: Use difflib, patch command, or git diff
• Effort: Medium (3-4 hours total)

10. Process Tracing Tools (workflow_tools.py)

❌ trace_process() - Line 227
❌ analyze_syscalls() - Line 238
❌ process_monitor() - Line 252

• Purpose: Advanced debugging and system call tracing
• Impact: 🟢 Low - Very specialized debugging
• Implementation: Use strace/dtrace equivalent, psutil
• Effort: Very High (8-10 hours total) - Complex cross-platform implementation

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🛣️ IMPLEMENTATION ROADMAP

Phase 1: Core Functionality (Week 1)

1. git_commit_prepare - Essential git workflow
2. search_and_replace_batch - Critical refactoring tool
3. http_request - API testing capability
4. run_tests - Development workflow essential

Phase 2: Quality & Analysis (Week 2)

5. dependency_check - Security and maintenance
6. analyze_codebase - Code insights
7. lint_code + format_code - Code quality
8. find_duplicates - Code cleanup

Phase 3: Enhanced UX (Week 3)

9. environment_info - System diagnostics
10. api_mock_server - Advanced API testing
11. process_tree - System monitoring
12. Enhanced versions of existing tools

Phase 4: Advanced Features (Week 4)

13. Documentation generation tools
14. Project template system
15. Virtual environment management
16. Diff/patch operations

Phase 5: Specialized Tools (Future)

17. Process tracing and system call analysis
18. Advanced debugging capabilities
19. Performance monitoring tools

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🔧 IMPLEMENTATION GUIDELINES

Safety First 🛡️

• ALWAYS follow SACRED_TRUST_SAFETY.md guidelines
• Add 🔴 DESTRUCTIVE markers for dangerous operations
• Default to dry_run=True for destructive operations
• Include LLM safety instructions in tool descriptions

Error Handling 🚨

• Use log_critical() and log_emergency() from base.py
• Provide meaningful error messages
• Handle cross-platform differences gracefully

Testing 🧪

• Add test cases for each implemented method
• Include both success and failure scenarios
• Test safety mechanisms (dry_run, refusal scenarios)

Documentation 📚

• Update tool descriptions with implementation details
• Add usage examples where helpful
• Document any platform-specific behavior

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🎯 QUICK START IMPLEMENTATION

To implement the highest-impact tools first:

# Focus on these files in order:
1. enhanced_mcp/git_integration.py - git_commit_prepare()
2. enhanced_mcp/workflow_tools.py - search_and_replace_batch()
3. enhanced_mcp/workflow_tools.py - http_request()
4. enhanced_mcp/workflow_tools.py - run_tests()
5. enhanced_mcp/workflow_tools.py - dependency_check()

Each implementation should:

• Remove the NotImplementedError line
• Add proper error handling with base.py methods
• Include comprehensive docstrings
• Follow the established safety patterns
• Add corresponding test cases

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📈 SUCCESS METRICS

Phase 1 Complete When:

• ✅ All NotImplementedError lines removed from high-priority tools
• ✅ Git workflow significantly improved with commit suggestions
• ✅ Basic API testing capabilities functional
• ✅ Code refactoring tools operational

Full Project Complete When:

• ✅ Zero NotImplementedError instances in codebase
• ✅ 100% test coverage for implemented tools
• ✅ All safety validations passing
• ✅ Complete documentation with examples
• ✅ Performance benchmarks established

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🚀 READY FOR FRESH CONVERSATION

Current State:

• ✅ Safety framework complete and validated
• ✅ Infrastructure solid and modern
• ✅ 5 tool categories fully implemented
• ❌ 19 methods need implementation across 4 files

Next Session Goals:

• Implement 1-3 high-priority tools
• Maintain safety standards throughout
• Add comprehensive test coverage
• Keep documentation updated

Quick Context: This is a comprehensive MCP (Model Context Protocol) tools package with a robust safety framework called "SACRED TRUST" that ensures AI assistants protect user data and systems. The package is production-ready except for these 19 unimplemented methods.

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🎯 Ready to implement the next wave of functionality! 🚀