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 ✅

---

🚨 CRITICAL: 10 NotImplementedError Methods Remaining

Status: Phase 2 NEARLY COMPLETE! 9 tools implemented (47% progress). Ready for Phase 3!

Phase 1 Achievements: ✅ Essential git workflow, ✅ Critical refactoring, ✅ API testing, ✅ Development workflow, ✅ Security & maintenance

Phase 2 Achievements: ✅ Code quality pipeline, ✅ Comprehensive codebase analysis, ✅ Duplicate detection, ✅ Code formatting automation

Phase 3 Ready: 🚀 Developer superpowers phase - system diagnostics, environment automation, enhanced command execution, semantic code search

---

🔥 HIGH PRIORITY IMPLEMENTATIONS (Immediate Business Value)

1. Git Integration (git_integration.py)

✅ git_commit_prepare() - Line 812 - IMPLEMENTED!

• Purpose: Prepare git commit with AI-suggested messages
• Impact: 🔥 High - Essential for git workflows
• Implementation: ✅ COMPLETE - Uses git log/diff analysis to suggest commit messages, stages files, provides status
• Features: Auto-staging, intelligent commit message generation, comprehensive error handling

2. Advanced Search & Analysis (workflow_tools.py)

✅ search_and_replace_batch() - Line 32 - IMPLEMENTED!
❌ analyze_codebase() - Line 35  
❌ find_duplicates() - Line 142

• Purpose: Batch code operations and codebase analysis
• Impact: 🔥 High - Critical for refactoring and code quality
• Implementation: ✅ search_and_replace_batch COMPLETE - Full safety mechanisms, preview mode, backup support
• Effort: Medium (3-4 hours remaining for analyze_codebase & find_duplicates)

3. Development Workflow (workflow_tools.py)

✅ run_tests() - Line 159 - IMPLEMENTED!
❌ lint_code() - Line 169  
❌ format_code() - Line 181

• Purpose: Automated code quality and testing
• Impact: 🔥 High - Essential for CI/CD workflows
• Implementation: ✅ run_tests COMPLETE - Auto-detects pytest/jest/mocha, coverage support, detailed parsing
• Effort: Medium (2-3 hours remaining for lint_code & format_code)

4. Network API Tools (workflow_tools.py)

✅ http_request() - Line 197 - IMPLEMENTED!
❌ api_mock_server() - Line 204

• Purpose: API testing and mocking capabilities
• Impact: 🔥 High - Essential for API development
• Implementation: ✅ http_request COMPLETE - Full HTTP client with response parsing, error handling, timing
• Effort: Medium (2-3 hours remaining for api_mock_server)

5. Utility Tools (workflow_tools.py)

✅ dependency_check() - Line 366 - IMPLEMENTED!

• Purpose: Analyze and update project dependencies
• Impact: 🔥 High - Critical for security and maintenance
• Implementation: ✅ COMPLETE - Supports Python & Node.js, security scanning, update detection
• Features: Multi-format support (pyproject.toml, requirements.txt, package.json), vulnerability detection

---

🔥 PHASE 3: ENHANCED UX & ENVIRONMENT - DEVELOPER SUPERPOWERS

Ready for Implementation (Power User Tools)

🚀 HIGH IMPACT - System Diagnostics & Environment

❌ environment_info() - workflow_tools.py:2133    (2-3 hours)
❌ process_tree() - workflow_tools.py:2141        (2-3 hours)  
❌ manage_virtual_env() - workflow_tools.py:2148  (3-4 hours)

Business Value: Complete system visibility, environment automation, debugging acceleration Implementation: System fingerprinting, process monitoring with psutil, virtual environment lifecycle management Safety: 🟡 SAFE operations with read-only diagnostics and controlled environment management

🚀 HIGH IMPACT - Enhanced Command & Search Intelligence

❌ execute_command_enhanced() - workflow_tools.py:2163  (3-4 hours)
❌ search_code_enhanced() - workflow_tools.py:2176     (3-4 hours)

Business Value: Advanced automation capabilities, semantic code intelligence Implementation: Streaming command execution with retry mechanisms, AST-based code search with semantic analysis Safety: 🟡 SAFE operations with comprehensive error handling and timeout controls

Phase 3 Success Criteria

• ✅ Complete system diagnostic capabilities (environment + process monitoring)
• ✅ Advanced environment automation (virtual environment lifecycle)
• ✅ Enhanced command execution with streaming and retry mechanisms
• ✅ Semantic code search with AST and cross-reference analysis
• ✅ 5 additional tools implemented (14/19 total complete - 74% progress)

Phase 3 Implementation Plan

Week 1: System Foundation (Days 1-3)

1. Day 1: Implement environment_info() with multi-section system analysis
2. Day 2: Implement process_tree() with hierarchical monitoring
3. Day 3: Implement manage_virtual_env() with full lifecycle support

Week 2: Enhanced Intelligence (Days 4-5)

1. Day 4: Implement execute_command_enhanced() with streaming and retry
2. Day 5: Implement search_code_enhanced() with semantic analysis

Phase 3 Technical Requirements

• Core Dependencies: psutil (process monitoring), platform (system detection)
• Optional Dependencies: ast (code parsing), subprocess (command execution)
• Cross-platform Support: Windows/Linux/macOS with graceful fallbacks
• Performance Focus: Streaming interfaces, intelligent caching, resource efficiency
• Enterprise Features: Audit trails, comprehensive logging, security-conscious design

🔥 Phase 3 Feature Preview

environment_info() - Complete System Fingerprinting

# Example output structure:
{
  "system": {"os": "Linux", "arch": "x86_64", "kernel": "5.15.0"},
  "python": {"version": "3.11.5", "executable": "/usr/bin/python3", "venv": "myproject"},
  "node": {"version": "18.17.0", "npm": "9.6.7", "yarn": "1.22.19"},
  "git": {"version": "2.34.1", "user": "developer", "email": "dev@example.com"},
  "env_vars": {"PATH": "/usr/bin:/bin", "critical_vars": {...}}
}

process_tree() - Visual Process Monitoring

# Hierarchical process tree with resource usage:
{
  "root_process": {"pid": 1234, "name": "python", "cpu": 15.2, "memory": "128MB"},
  "children": [
    {"pid": 1235, "name": "subprocess", "cpu": 5.1, "memory": "32MB"},
    {"pid": 1236, "name": "worker", "cpu": 8.3, "memory": "64MB"}
  ],
  "total_resources": {"cpu": 28.6, "memory": "224MB"}
}

manage_virtual_env() - Environment Orchestration

# Virtual environment lifecycle management:
{
  "action": "create",
  "env_name": "myproject",
  "python_version": "3.11.5",
  "location": "/path/to/envs/myproject",
  "packages_installed": ["pip==23.1", "setuptools==68.0"],
  "activation_script": "/path/to/envs/myproject/bin/activate"
}

execute_command_enhanced() - Advanced Command Execution

# Streaming execution with retry and timeout:
{
  "command": "pytest tests/",
  "streaming": true,
  "timeout": 300,
  "retry_count": 2,
  "environment": {"TEST_MODE": "1"},
  "output_stream": "live",
  "exit_code": 0,
  "duration": 45.2
}

search_code_enhanced() - Semantic Code Intelligence

# AST-aware code search with context:
{
  "query": "function def calculate",
  "search_type": "ast",
  "results": [
    {
      "file": "utils/math.py",
      "function": "calculate_total",
      "line": 42,
      "context": "def calculate_total(items: List[Item]) -> float:",
      "references": ["main.py:15", "tests/test_utils.py:23"],
      "complexity": "moderate"
    }
  ]
}

---

⚡ MEDIUM PRIORITY IMPLEMENTATIONS (Post-Phase 3)

6. Advanced API & Documentation Tools

❌ api_mock_server() - workflow_tools.py:1154     (3-4 hours) [Complete Phase 2]
❌ generate_documentation() - workflow_tools.py:1184  (4-5 hours)
❌ project_template() - workflow_tools.py:1194    (3-4 hours)

• 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)

---

🔬 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

---

🛣️ IMPLEMENTATION ROADMAP

Phase 1: Core Functionality ✅ COMPLETE

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
5. ✅ dependency_check - Security and maintenance

Phase 2: Quality & Analysis ✅ NEARLY COMPLETE (4/5 tools)

6. ✅ analyze_codebase - Code insights and metrics
7. ✅ lint_code - Code quality automation
8. ✅ format_code - Code formatting automation
9. ✅ find_duplicates - Code cleanup and deduplication
10. ⏳ api_mock_server - Advanced API testing server (REMAINING)

Phase 3: Enhanced UX & Environment (NEXT PRIORITY)

11. environment_info - Complete system diagnostics
12. process_tree - Advanced process monitoring
13. manage_virtual_env - Virtual environment automation
14. execute_command_enhanced - Advanced command execution with streaming
15. search_code_enhanced - Semantic code intelligence with AST analysis

Phase 4: Advanced Features

16. Documentation generation tools (generate_documentation)
17. Project template system (project_template)
18. Enhanced editing tools (edit_block_enhanced)
19. Diff/patch operations (generate_diff, apply_patch, create_patch_file)

Phase 5: Specialized Tools (Future)

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

---

🎯 PHASE 2: QUALITY & ANALYSIS TOOLS

Ready for Implementation (Priority Order)

🔥 HIGH IMPACT - Code Quality Pipeline

✅ lint_code() - workflow_tools.py:423        - IMPLEMENTED!
✅ format_code() - workflow_tools.py:914      - IMPLEMENTED!

Business Value: Essential for CI/CD pipelines, code standards enforcement Implementation: ✅ COMPLETE - Multi-linter support (flake8, pylint, eslint, etc.), auto-formatting (black, prettier) Features: Auto-detection of file types and available tools, detailed results with recommendations

🔥 HIGH IMPACT - Code Insights

✅ analyze_codebase() - workflow_tools.py:147  - IMPLEMENTED!
✅ find_duplicates() - workflow_tools.py:575   - IMPLEMENTED!

Business Value: Code quality metrics, technical debt identification Implementation: ✅ COMPLETE - Comprehensive complexity analysis, duplicate detection with similarity algorithms Features: LOC metrics, cyclomatic complexity, dependency analysis, identical/similar file detection

🔥 MEDIUM IMPACT - API Testing Enhancement

❌ api_mock_server() - workflow_tools.py:1154  (3-4 hours)

Business Value: Complete API testing ecosystem Implementation: FastAPI-based mock server with route configuration Safety: 🟡 SAFE operation, localhost only

Phase 2 Success Criteria ✅ COMPLETE!

• ✅ Complete code quality automation (lint + format) - IMPLEMENTED
• ✅ Comprehensive codebase analysis capabilities - IMPLEMENTED
• ✅ Duplicate code detection and cleanup guidance - IMPLEMENTED
• ⏳ Full API testing ecosystem (request + mock server) - 1 tool remaining
• ✅ 4/5 tools implemented (9/19 total complete - 47% progress)

Phase 2 Implementation Status

✅ COMPLETED (Week 1-2)

1. ✅ lint_code() - Multi-linter support with auto-detection
2. ✅ format_code() - Auto-formatting with diff previews
3. ✅ analyze_codebase() - Comprehensive metrics (LOC, complexity, dependencies)
4. ✅ find_duplicates() - Advanced duplicate detection algorithms

🔄 REMAINING

5. api_mock_server() - FastAPI-based mock server (3-4 hours)

Technical Requirements for Phase 2

• Dependencies: flake8, black, prettier, fastapi, uvicorn
• Cross-platform: Windows/Linux/macOS support
• Error handling: Graceful fallbacks for missing tools
• Safety: All SACRED TRUST standards maintained

---

🔧 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

---

🎯 QUICK START: PHASE 3 - DEVELOPER SUPERPOWERS

Phase 2 Nearly Complete! ✅ 9/19 tools implemented (47% progress)

Complete Phase 2 (Optional)

# Complete Phase 2 with final tool:
1. enhanced_mcp/workflow_tools.py - api_mock_server()       # 3-4 hours

Phase 3 Implementation Order (HIGH PRIORITY)

# Power user tools - estimated 15-18 hours total:
1. enhanced_mcp/workflow_tools.py - environment_info()     # 2-3 hours  🔍 System diagnostics
2. enhanced_mcp/workflow_tools.py - process_tree()         # 2-3 hours  📊 Process monitoring
3. enhanced_mcp/workflow_tools.py - manage_virtual_env()   # 3-4 hours  🐍 Environment automation
4. enhanced_mcp/workflow_tools.py - execute_command_enhanced() # 3-4 hours ⚡ Advanced execution
5. enhanced_mcp/workflow_tools.py - search_code_enhanced() # 3-4 hours  🔎 Code intelligence

Why Phase 3 is HUGE 🚀

• From good tools → Developer superpowers
• Complete system visibility with diagnostics and monitoring
• Advanced automation with enhanced command execution
• Semantic code intelligence with AST-based search
• Professional environment management for complex projects

Phase 1 & 2 Achievements ✅

# Git & Core Workflow (Phase 1) - COMPLETE
✅ enhanced_mcp/git_integration.py - git_commit_prepare()
✅ enhanced_mcp/workflow_tools.py - search_and_replace_batch()
✅ enhanced_mcp/workflow_tools.py - http_request()
✅ enhanced_mcp/workflow_tools.py - run_tests()
✅ enhanced_mcp/workflow_tools.py - dependency_check()

# Code Quality & Analysis (Phase 2) - 4/5 COMPLETE
✅ enhanced_mcp/workflow_tools.py - lint_code()
✅ enhanced_mcp/workflow_tools.py - format_code()
✅ enhanced_mcp/workflow_tools.py - analyze_codebase()
✅ enhanced_mcp/workflow_tools.py - find_duplicates()
⏳ enhanced_mcp/workflow_tools.py - api_mock_server()  # REMAINING

After Phase 3: 74% Complete (14/19 tools) 🎯

✅ enhanced_mcp/workflow_tools.py - lint_code() ✅ enhanced_mcp/workflow_tools.py - format_code() ✅ enhanced_mcp/workflow_tools.py - analyze_codebase() ✅ enhanced_mcp/workflow_tools.py - find_duplicates()

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

---

## 📈 **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

---

## 🚀 **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!** 🚀