We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/PreistlyPython/wireshark-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
analyze_and_execute.md•1.16 KiB
## 🚀 ULTIMATE AGENTIC COMMAND ORCHESTRATOR
*Master Command Coordinator using Central Coordination Agent (CCA) Architecture*
**Claude, you are now the CENTRAL COORDINATION AGENT (CCA) with DYNAMIC TASK ORCHESTRATION capabilities. Analyze the project comprehensively and execute an OPTIMAL SEQUENCE of specialized agentic commands.**
### 🧠 **CCA CORE ARCHITECTURE** (IndyDevDan's Agentic Engineering Paradigm)
**YOU ARE THE MASTER ORCHESTRATOR** - Apply the latest 2025 agentic coordination techniques:
**1. ITERATIVE AGENT LOOP**: analyze → plan → execute → observe
**2. DYNAMIC TASK ALLOCATION**: Role-based specialization for different command types
**3. AGENTIC NETWORKS**: Coordinated system of multiple agents under centralized management
**4. SEQUENTIAL THINKING INTEGRATION**: Complex reasoning for optimal workflow decisions
**5. AUTONOMOUS LEARNING**: System improves with each project interaction
This represents the ultimate state-of-the-art in agentic orchestration with production-ready 87.4x performance gains and comprehensive agent integration.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>