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SuperClaude/Framework-Hooks/docs/Configuration/mcp_orchestration.yaml.md
NomenAK 9edf3f8802 docs: Complete Framework-Hooks documentation overhaul 
Major documentation update focused on technical accuracy and developer clarity:

Documentation Changes:
- Rewrote README.md with focus on hooks system architecture
- Updated all core docs (Overview, Integration, Performance) to match implementation
- Created 6 missing configuration docs for undocumented YAML files
- Updated all 7 hook docs to reflect actual Python implementations
- Created docs for 2 missing shared modules (intelligence_engine, validate_system)
- Updated all 5 pattern docs with real YAML examples
- Added 4 essential operational docs (INSTALLATION, TROUBLESHOOTING, CONFIGURATION, QUICK_REFERENCE)

Key Improvements:
- Removed all marketing language in favor of humble technical documentation
- Fixed critical configuration discrepancies (logging defaults, performance targets)
- Used actual code examples and configuration from implementation
- Complete coverage: 15 configs, 10 modules, 7 hooks, 3 pattern tiers
- Based all documentation on actual file review and code analysis

Technical Accuracy:
- Corrected performance targets to match performance.yaml
- Fixed timeout values from settings.json (10-15 seconds)
- Updated module count and descriptions to match actual shared/ directory
- Aligned all examples with actual YAML and Python implementations

The documentation now provides accurate, practical information for developers
working with the Framework-Hooks system, focusing on what it actually does
rather than aspirational features.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-06 15:13:07 +02:00

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MCP Orchestration Configuration (mcp_orchestration.yaml)

Overview

The mcp_orchestration.yaml file configures MCP (Model Context Protocol) server coordination, intelligent routing, and optimization strategies for the SuperClaude-Lite framework.

Purpose and Role

This configuration provides:

  • MCP Server Routing: Intelligent selection of MCP servers based on context
  • Server Coordination: Multi-server coordination and fallback strategies
  • Performance Optimization: Caching, load balancing, and resource management
  • Context Awareness: Operation-specific server selection and configuration

Key Configuration Areas

1. Server Selection Patterns

  • Context-Based Routing: Route requests to appropriate MCP servers based on operation type
  • Confidence Thresholds: Minimum confidence levels for server selection
  • Fallback Chains: Backup server selection when primary servers unavailable
  • Performance-Based Selection: Choose servers based on historical performance

2. Multi-Server Coordination

  • Parallel Execution: Coordinate multiple servers for complex operations
  • Result Aggregation: Combine results from multiple servers intelligently
  • Conflict Resolution: Handle conflicting recommendations from different servers
  • Load Distribution: Balance requests across available servers

3. Performance Optimization

  • Response Caching: Cache server responses to reduce latency
  • Connection Pooling: Manage persistent connections to MCP servers
  • Request Batching: Batch similar requests for efficiency
  • Timeout Management: Handle server timeouts gracefully

4. Context Intelligence

  • Operation Type Detection: Identify operation types for optimal server selection
  • Project Context Awareness: Route based on detected project characteristics
  • User Preference Integration: Consider user preferences in server selection
  • Historical Performance: Learn from past server performance

Configuration Structure

The file typically includes:

  • Server capability mappings (which servers handle which operations)
  • Routing rules and decision trees
  • Performance thresholds and optimization settings
  • Fallback and error handling strategies

Integration Points

Hook Integration

  • Pre-Tool Use: Server selection and preparation
  • Post-Tool Use: Performance tracking and result validation
  • Session Start: Server availability checking and initialization

Framework Integration

  • Works with mode detection to optimize server selection
  • Integrates with performance monitoring for optimization
  • Coordinates with user experience settings for personalization

Usage Guidelines

This configuration controls how the framework routes operations to different MCP servers. Key considerations:

  • Server Availability: Configure appropriate fallback chains
  • Performance Tuning: Adjust timeout and caching settings for your environment
  • Context Mapping: Ensure operation types map to appropriate servers
  • Load Management: Configure load balancing for high-usage scenarios

Related Documentation

  • Hook Coordination: hook_coordination.yaml.md for execution patterns
  • Performance: performance.yaml.md for performance monitoring
  • User Experience: user_experience.yaml.md for user-focused routing