Ryan Malloy 09ab9a640b docs: Update roadmap for Phase 2
- Mark Phase 1 as complete (5/19 tools implemented)
- Define Phase 2: Quality & Analysis Tools roadmap
- Prioritize lint_code, format_code, analyze_codebase, find_duplicates, api_mock_server
- Add detailed implementation plan with time estimates
- Update quick start guide for Phase 2 focus
- Remove duplicate sections and clean up structure
2025-06-23 13:00:29 -06:00

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# 📋 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: 14 NotImplementedError Methods Remaining**
**Status**: Phase 1 COMPLETE! 5 high-priority tools implemented. 14 tools remaining across 4 files.
**Phase 1 Achievements**: ✅ Essential git workflow, ✅ Critical refactoring, ✅ API testing, ✅ Development workflow, ✅ Security & maintenance
---
## 🔥 **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
---
## ⚡ **MEDIUM PRIORITY IMPLEMENTATIONS** (Good Developer Experience)
### **6. Environment & Process Management (`workflow_tools.py`)**
```python
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`)**
```python
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`)**
```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 (Current Priority)**
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
### **Phase 3: Enhanced UX & Environment**
11. `environment_info` - System diagnostics
12. `process_tree` - System monitoring
13. `manage_virtual_env` - Environment management
14. Enhanced versions of existing tools (`execute_command_enhanced`, `search_code_enhanced`, `edit_block_enhanced`)
### **Phase 4: Advanced Features**
15. Documentation generation tools (`generate_documentation`)
16. Project template system (`project_template`)
17. 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:274 (2-3 hours)
format_code() - workflow_tools.py:287 (2-3 hours)
```
**Business Value**: Essential for CI/CD pipelines, code standards enforcement
**Implementation**: Shell out to flake8, black, prettier, autopep8 with auto-detection
**Safety**: 🟡 SAFE operations, no destructive changes
#### **🔥 HIGH IMPACT - Code Insights**
```python
analyze_codebase() - workflow_tools.py:35 (4-5 hours)
find_duplicates() - workflow_tools.py:142 (3-4 hours)
```
**Business Value**: Code quality metrics, technical debt identification
**Implementation**: AST parsing, file analysis, similarity detection
**Safety**: 🟡 SAFE operations, read-only analysis
#### **🔥 MEDIUM IMPACT - API Testing Enhancement**
```python
api_mock_server() - workflow_tools.py:204 (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 code quality automation (lint + format)
- ✅ Comprehensive codebase analysis capabilities
- ✅ Duplicate code detection and cleanup guidance
- ✅ Full API testing ecosystem (request + mock server)
- ✅ 5 additional tools implemented (10/19 total complete)
### **Phase 2 Implementation Plan**
#### **Week 1: Code Quality Pipeline**
1. **Day 1-2**: Implement `lint_code()` with multi-linter support
2. **Day 3-4**: Implement `format_code()` with auto-detection
3. **Day 5**: Test integration and edge cases
#### **Week 2: Analysis & API Tools**
1. **Day 1-3**: Implement `analyze_codebase()` with comprehensive metrics
2. **Day 4-5**: Implement `find_duplicates()` with similarity algorithms
3. **Day 6**: Implement `api_mock_server()` with FastAPI
#### **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 2 IMPLEMENTATION**
**Phase 1 Complete!** ✅ 5/19 tools implemented (26% progress)
### **Next Priority: Phase 2 Quality & Analysis Tools**
```bash
# Phase 2 implementation order (highest impact first):
1. enhanced_mcp/workflow_tools.py - lint_code() # 2-3 hours
2. enhanced_mcp/workflow_tools.py - format_code() # 2-3 hours
3. enhanced_mcp/workflow_tools.py - analyze_codebase() # 4-5 hours
4. enhanced_mcp/workflow_tools.py - find_duplicates() # 3-4 hours
5. enhanced_mcp/workflow_tools.py - api_mock_server() # 3-4 hours
```
### **Phase 1 Achievements** ✅
```bash
# Already implemented and fully functional:
✅ 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()
```
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!** 🚀