n8n Architect - Quantum Core MCP

A Senior-Grade Master Control Process (MCP) for n8n and Docker orchestration, designed for high-fidelity agentic autonomous development.

🚀 Architecture: Expert Kernels

The system has been refactored from a flat 94-tool model to 10 High-Fidelity Expert Kernels. This reduces agent cognitive load while maintaining 100% of the underlying power.

Available Kernels

1. kernel_workflow_architect: Full workflow lifecycle (Deploy, Snapshots, Git).

2. kernel_operational_surgeon: Live state manipulation & auto-healing.

3. kernel_system_oracle: Predictive metrics, anomalies & reliability grades.

4. kernel_infrastructure_guardian: Docker, security & resource optimization.

5. kernel_semantic_intelligence: Documentation, diagrams & impact analysis.

6. kernel_asset_factory: Custom node scaffolding & credentials.

7. list_expert_skills: Dynamic discovery of 85+ underlying skills.

Strategic Protocols

• system_war_room_report: Strategic system overview.

• protocol_execute_sdlc: Automated Audit/Security/Optimization loop.

• shadow_simulation_patch: Risk-free fix simulation.

Related MCP server: n8n MCP Server

🛠️ Setup & Usage

1. Requirements

• Python 3.10+

• n8n instance with API enabled

• Docker Desktop (local)

2. Environment Configuration

Create a .env file with:

N8N_BASE_URL=http://localhost:5678
N8N_API_KEY=your_api_key
ENABLE_DOCKER_TOOLS=True
ENABLE_N8N_TOOLS=True

3. Launching

# Production (SSE via FastAPI)
python run.py

# CLI / Debug Mode
python run_stdio.py

4. Verification

Run the unified verification suite:

python verify_system.py

🧠 Design Philosophy

Built on the "Jorge Aguirre" Protocol, prioritizing Robustness, Security, and Clean-Code through iterative AUDIT phases before any production deployment.