✅ COMPREHENSIVE SAFETY FRAMEWORK: • Package-level safety notices with SACRED TRUST language • Server-level LLM safety protocols with specific refusal scenarios • Class-level safety reminders for AI assistants • Tool-level destructive operation warnings (🔴 DESTRUCTIVE markers) • Visual safety system: 🔴🛡️🚨 markers throughout codebase • Emergency logging infrastructure with proper escalation • Default-safe operations (dry_run=True for destructive tools) 🔒 DESTRUCTIVE OPERATION PROTECTIONS: • bulk_rename: LLM safety instructions + dry_run default • search_and_replace_batch: Comprehensive safety warnings • All destructive tools require preview before execution • Clear REFUSE scenarios for AI assistants 📚 COMPREHENSIVE DOCUMENTATION: • SACRED_TRUST_SAFETY.md: Complete safety philosophy & implementation guide • IMPLEMENTATION_COMPLETE.md: Project completion status • EMERGENCY_LOGGING_COMPLETE.md: Logging infrastructure details • UV_BUILD_GUIDE.md: Modern Python project setup • Multiple implementation guides and status docs 🔧 PROJECT MODERNIZATION: • Migrated from setup.py/requirements.txt to pyproject.toml + uv • Updated dependency management with uv.lock • Enhanced test suite with comprehensive coverage • Added examples and demo scripts ✅ VALIDATION COMPLETE: All SACRED_TRUST_SAFETY.md requirements implemented 🎯 Sacred Trust Status: PROTECTED 🚨 User Safety: PARAMOUNT 🔐 System Integrity: PRESERVED The human trusts AI assistants to be guardians of their system and data. This framework ensures that trust is honored through comprehensive safety measures.
3.9 KiB
3.9 KiB
🎉 Enhanced MCP Tools - Import Fixes Complete!
✅ All Import Issues Successfully Resolved
The Enhanced MCP Tools package has been completely fixed and is now ready for production use with a robust dependency management strategy using pyproject.toml
.
📦 Updated Dependency Strategy
Core Dependencies (Required)
fastmcp>=2.8.1
- Core MCP functionality
Optional Dependencies (Enhanced Features)
[project.optional-dependencies]
# Core enhanced functionality (recommended)
enhanced = [
"aiofiles>=23.0.0", # Async file operations
"watchdog>=3.0.0", # File system monitoring
"psutil>=5.9.0", # Process and system monitoring
"requests>=2.28.0", # HTTP requests for Sneller and APIs
]
# All optional features
full = [
"enhanced-mcp-tools[enhanced]",
"rich>=13.0.0", # Enhanced terminal output
"pydantic>=2.0.0", # Data validation
]
🚀 Installation Options
# 1. Core installation (minimal dependencies)
pip install -e .
# 2. Enhanced installation (recommended)
pip install -e ".[enhanced]"
# 3. Full installation (all features)
pip install -e ".[full]"
# 4. Development installation
pip install -e ".[dev]"
🛡️ Graceful Fallback System
The package is designed to work even when optional dependencies are missing:
- ✅ Core functionality always available with just
fastmcp
- ⚠️ Enhanced features gracefully degrade when dependencies missing
- 🚫 No crashes due to missing optional dependencies
- 📝 Clear warnings when fallbacks are used
🔧 Key Improvements Made
1. Import Fixes
- ✅ Added missing
Dict
,List
from typing - ✅ Fixed
json_module
→json
references - ✅ Added graceful fallbacks for all optional imports
- ✅ Fixed Python 3.10+ syntax for broader compatibility
2. Dependency Management
- ✅ Updated
pyproject.toml
with logical dependency groups - ✅ Changed Python requirement to
>=3.8
(broader compatibility) - ✅ Removed unused dependencies (
GitPython
,httpx
) - ✅ Added proper version pinning
3. Package Structure
- ✅ All modules import successfully
- ✅ Graceful error handling throughout
- ✅ Comprehensive test validation
- ✅ Clean separation of core vs. enhanced features
📊 Validation Results
🧪 Enhanced MCP Tools Package Validation
✅ Package structure is correct
✅ All imports work with graceful fallbacks
✅ pyproject.toml is properly configured
🎉 ALL TESTS PASSED!
Import Test Results:
✅ Core package imports
✅ file_operations.EnhancedFileOperations
✅ archive_compression.ArchiveCompression
✅ git_integration.GitIntegration
✅ asciinema_integration.AsciinemaIntegration
✅ sneller_analytics.SnellerAnalytics
✅ intelligent_completion.IntelligentCompletion
✅ diff_patch.DiffPatchOperations
✅ workflow_tools (all classes)
🎯 Next Steps
-
Install the package:
pip install -e ".[enhanced]"
-
Test the installation:
python3 test_package_structure.py
-
Start using Enhanced MCP Tools:
from enhanced_mcp import create_server app = create_server() app.run()
📁 Files Modified
enhanced_mcp/base.py
- Core imports with graceful fallbacksenhanced_mcp/sneller_analytics.py
- Fixed JSON referencesenhanced_mcp/asciinema_integration.py
- Fixed JSON referencesenhanced_mcp/file_operations.py
- Added watchdog fallbackpyproject.toml
- Complete dependency reorganization
🏆 Success Metrics
- ✅ 100% import success rate
- ✅ Zero hard dependency failures
- ✅ Python 3.8+ compatibility
- ✅ Graceful degradation
- ✅ Modern dependency management
Enhanced MCP Tools is now production-ready! 🚀