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`)**
```python
✅ 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`)**
```python
✅ 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`)**
```python
✅ 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`)**
```python
✅ 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`)**
```python
✅ 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**
```python
❌ 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**
```python
❌ 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**
```python
# 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** 
```python
# 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**
```python
# 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**
```python
# 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**
```python
# 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**
```python
❌ 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`)**
```python
❌ 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`)**
```python
❌ 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`)**
```python
❌ 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**
```python
✅ 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**
```python
✅ 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**
```python
❌ 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)**
```bash
# Complete Phase 2 with final tool:
1. enhanced_mcp/workflow_tools.py - api_mock_server()       # 3-4 hours
```

### **Phase 3 Implementation Order (HIGH PRIORITY)**
```bash  
# 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** ✅
```bash
# 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.

---

**🎯 Ready to implement the next wave of functionality!** 🚀