MCP Standards

# Parallel Task Execution ## Purpose Execute independent subtasks in parallel for maximum efficiency. ## Coordination Strategy ### 1. Task Decomposition ``` Tool: mcp__claude-flow__task_orchestrate Parameters: { "task": "Build complete REST API with auth, CRUD operations, and tests", "strategy": "parallel", "maxAgents": 8 } ``` ### 2. Parallel Workflows The system automatically: - Identifies independent components - Assigns specialized agents - Executes in parallel where possible - Synchronizes at dependency points ### 3. Example Breakdown For the REST API task: - **Agent 1 (Architect)**: Design API structure - **Agent 2-3 (Coders)**: Implement auth & CRUD in parallel - **Agent 4 (Tester)**: Write tests as features complete - **Agent 5 (Documenter)**: Update docs continuously ## CLI Usage ```bash # Execute parallel tasks via CLI npx claude-flow parallel "Build REST API" --max-agents 8 ``` ## Performance Gains - 🚀 2.8-4.4x faster execution - 💪 Optimal CPU utilization - 🔄 Automatic load balancing - 📈 Linear scalability with agents ## Monitoring ``` Tool: mcp__claude-flow__swarm_monitor Parameters: {"interval": 1000, "swarmId": "current"} ``` Watch real-time parallel execution progress!