- 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
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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
)
✅ 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
⚡ 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)
🔬 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
- ✅
git_commit_prepare
- Essential git workflow - ✅
search_and_replace_batch
- Critical refactoring tool - ✅
http_request
- API testing capability - ✅
run_tests
- Development workflow essential - ✅
dependency_check
- Security and maintenance
Phase 2: Quality & Analysis (Current Priority)
analyze_codebase
- Code insights and metricslint_code
- Code quality automationformat_code
- Code formatting automationfind_duplicates
- Code cleanup and deduplicationapi_mock_server
- Advanced API testing server
Phase 3: Enhanced UX & Environment
environment_info
- System diagnosticsprocess_tree
- System monitoringmanage_virtual_env
- Environment management- Enhanced versions of existing tools (
execute_command_enhanced
,search_code_enhanced
,edit_block_enhanced
)
Phase 4: Advanced Features
- Documentation generation tools (
generate_documentation
) - Project template system (
project_template
) - Diff/patch operations (
generate_diff
,apply_patch
,create_patch_file
)
Phase 5: Specialized Tools (Future)
- Process tracing and system call analysis
- Advanced debugging capabilities
- Performance monitoring tools
🎯 PHASE 2: QUALITY & ANALYSIS TOOLS
Ready for Implementation (Priority Order)
🔥 HIGH IMPACT - Code Quality Pipeline
❌ 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
❌ 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
❌ 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
- Day 1-2: Implement
lint_code()
with multi-linter support - Day 3-4: Implement
format_code()
with auto-detection - Day 5: Test integration and edge cases
Week 2: Analysis & API Tools
- Day 1-3: Implement
analyze_codebase()
with comprehensive metrics - Day 4-5: Implement
find_duplicates()
with similarity algorithms - 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()
andlog_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
# 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 ✅
# 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! 🚀